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140 results on '"LAGIS-MOCIS"'

1. LFT bond graph for online robust fault detection and isolation of hybrid multisource system

Author

Boukerdja, Mahdi, Radi, Youness, Prakash, Om, Sood, Sumit, Ould Bouamama, Belkacem, Chouder, Aissa, Gehin, Anne-Lise, Dieulot, Jean-Yves, Bressel, Mathieu, Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 (CRIStAL), Centrale Lille-Université de Lille-Centre National de la Recherche Scientifique (CNRS), PERennisation des Systèmes Industriels (PERSI), Centrale Lille-Université de Lille-Centre National de la Recherche Scientifique (CNRS)-Centrale Lille-Université de Lille-Centre National de la Recherche Scientifique (CNRS), Méthodes et Outils pour la Conception Intégrée de Systèmes (MOCIS), LAGIS-MOCIS, Laboratoire d'Automatique, Génie Informatique et Signal (LAGIS), and Université de Lille, Sciences et Technologies-Centrale Lille-Centre National de la Recherche Scientifique (CNRS)-Université de Lille, Sciences et Technologies-Centrale Lille-Centre National de la Recherche Scientifique (CNRS)

Subjects
[INFO.INFO-AU]Computer Science [cs]/Automatic Control Engineering, ComputingMilieux_MISCELLANEOUS
Abstract

International audience

Published
2021

2. Passive supervision of a hydrogen based power cell with virtual tanks

Author

Chaabna, Solene Houria, Sood, Sumit, Dieulot, Jean-Yves, Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 (CRIStAL), Centrale Lille-Université de Lille-Centre National de la Recherche Scientifique (CNRS), LAGIS-MOCIS, Laboratoire d'Automatique, Génie Informatique et Signal (LAGIS), and Université de Lille, Sciences et Technologies-Centrale Lille-Centre National de la Recherche Scientifique (CNRS)-Université de Lille, Sciences et Technologies-Centrale Lille-Centre National de la Recherche Scientifique (CNRS)

Subjects
[INFO.INFO-AU]Computer Science [cs]/Automatic Control Engineering, ComputingMilieux_MISCELLANEOUS
Abstract

International audience

Published
2021

3. Model-based diagnosis of proton exchange membrane water electrolysis cell: Bond graph based approach

Author

Sood, Sumit, Prakash, Om, Boukerdja, Mahdi, Ould Bouamama, Belkacem, Dieulot, Jean-Yves, Bressel, Mathieu, Gehin, Anne-Lise, Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 (CRIStAL), Centrale Lille-Université de Lille-Centre National de la Recherche Scientifique (CNRS), PERennisation des Systèmes Industriels (PERSI), Centrale Lille-Université de Lille-Centre National de la Recherche Scientifique (CNRS)-Centrale Lille-Université de Lille-Centre National de la Recherche Scientifique (CNRS), LAGIS-MOCIS, Laboratoire d'Automatique, Génie Informatique et Signal (LAGIS), Université de Lille, Sciences et Technologies-Centrale Lille-Centre National de la Recherche Scientifique (CNRS)-Université de Lille, Sciences et Technologies-Centrale Lille-Centre National de la Recherche Scientifique (CNRS), and Méthodes et Outils pour la Conception Intégrée de Systèmes (MOCIS)

Subjects
[INFO.INFO-SY]Computer Science [cs]/Systems and Control [cs.SY], [INFO.INFO-MO]Computer Science [cs]/Modeling and Simulation, ComputingMilieux_MISCELLANEOUS
Abstract

International audience

Published
2021

4. A Model-based Prognosis approach to Proton Exchange Membrane Water Electrolysis System

Author

PRAKASH, Om, Sood, Sumit, Boukerdja, Mahdi, OULD BOUAMAMA, Belkacem, Dieulot, Jean-Yves, Gehin, Anne-Lise, Bressel, Mathieu, Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 (CRIStAL), Centrale Lille-Université de Lille-Centre National de la Recherche Scientifique (CNRS), LAGIS-MOCIS, Laboratoire d'Automatique, Génie Informatique et Signal (LAGIS), Université de Lille, Sciences et Technologies-Centrale Lille-Centre National de la Recherche Scientifique (CNRS)-Université de Lille, Sciences et Technologies-Centrale Lille-Centre National de la Recherche Scientifique (CNRS), Méthodes et Outils pour la Conception Intégrée de Systèmes (MOCIS), and Centrale Lille-Université de Lille-Centre National de la Recherche Scientifique (CNRS)-Centrale Lille-Université de Lille-Centre National de la Recherche Scientifique (CNRS)

Subjects
[INFO.INFO-AU]Computer Science [cs]/Automatic Control Engineering, [INFO.INFO-MO]Computer Science [cs]/Modeling and Simulation, ComputingMilieux_MISCELLANEOUS
Abstract

International audience

Published
2021

5. Energy Planning for Autonomous Driving of an Over-Actuated Road Vehicle

Author

Achille Melingui, Rochdi Merzouki, Ismail Bensekrane, Yacine Amara, Pushpendra Kumar, Vincent Coelen, Taha Chettibi, Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 (CRIStAL), Centrale Lille-Université de Lille-Centre National de la Recherche Scientifique (CNRS), Electrical and Telecommunications Engineering Department of Ecole Nationale Supérieure Polytechnique, the University of Yaoundé, Ecole Nationale Polytechnique [Alger] (ENP), LAGIS-MOCIS, Laboratoire d'Automatique, Génie Informatique et Signal (LAGIS), and Université de Lille, Sciences et Technologies-Centrale Lille-Centre National de la Recherche Scientifique (CNRS)-Université de Lille, Sciences et Technologies-Centrale Lille-Centre National de la Recherche Scientifique (CNRS)

Subjects
050210 logistics & transportation, Adaptive neuro fuzzy inference system, Computer science, Mechanical Engineering, 05 social sciences, Kinematics, Directed graph, 7. Clean energy, [INFO.INFO-MO]Computer Science [cs]/Modeling and Simulation, Computer Science Applications, Dynamic programming, Control theory, [INFO.INFO-AU]Computer Science [cs]/Automatic Control Engineering, 0502 economics and business, Automotive Engineering, Trajectory, Redundancy (engineering), Grid reference, [INFO.INFO-SY]Computer Science [cs]/Systems and Control [cs.SY], [INFO.INFO-RB]Computer Science [cs]/Robotics [cs.RO], Energy (signal processing), ComputingMilieux_MISCELLANEOUS
Abstract

In this work, an energy planning strategy is proposed for over-actuated unmanned road vehicles (URVs) having redundant steering configurations. In fact, indicators on the road geometry, the actuation redundancy, the optimal velocity profile, and the driving mode are evaluated for each segment of the URV’s trajectory. To reach this objective, a power consumption estimation model is developed for the URV. Due to the presence of unknown dynamic parameters of the URV and uncertainties about its interaction with the environment, an artificial intelligence (AI) technique, based on data-learning qualitative method, is used for the power consumption estimation, namely Adaptive Neuro Fuzzy Inference System (ANFIS). The ANFIS model is obtained using trained data from a Real URV dynamics. Then, an energy digraph is built with all feasible configurations taking into account the kinematic and dynamic constraints based on a 3D grid map setup, according to velocity, arc-length, and driving mode. In this weighted directed graph, the edges describe the consumed energy by the URV along a segment of a trajectory. The vertices describe the start and end points of each segment. Subsequently, an optimization algorithm is applied on the digraph to get a global optimal solution combining driving mode, power consumption, and velocity profile of the URV. The obtained results are compared with the dynamic programming method for global offline optimization. Finally, the obtained simulation and experimental results, applied on RobuCar URV, highlight the effectiveness of the proposed energy planning.

Published
2020

6. Functionability Analysis of Redundant Systems having Multiple Configurations

Author

Blaise Conrard, Rochdi Merzouki, Pushpendra Kumar, Armand Toguyeni, Chemali Riad, Ismail Bensekrane, Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 (CRIStAL), Centrale Lille-Université de Lille-Centre National de la Recherche Scientifique (CNRS), Systèmes Tolérants aux Fautes (STF), Centrale Lille-Université de Lille-Centre National de la Recherche Scientifique (CNRS)-Centrale Lille-Université de Lille-Centre National de la Recherche Scientifique (CNRS), Laboratoire d'Automatique, Génie Informatique et Signal (LAGIS), Université de Lille, Sciences et Technologies-Centrale Lille-Centre National de la Recherche Scientifique (CNRS), LAGIS-MOCIS, Université de Lille, Sciences et Technologies-Centrale Lille-Centre National de la Recherche Scientifique (CNRS)-Université de Lille, Sciences et Technologies-Centrale Lille-Centre National de la Recherche Scientifique (CNRS), Centrale Lille, and Centrale Lille Institut (CLIL)

Subjects
0209 industrial biotechnology, Computer science, Control reconfiguration, 020302 automobile design & engineering, Mobile robot, 02 engineering and technology, Mechatronics, Fault detection and isolation, Reliability engineering, [SPI.AUTO]Engineering Sciences [physics]/Automatic, [SPI.MECA.GEME]Engineering Sciences [physics]/Mechanics [physics.med-ph]/Mechanical engineering [physics.class-ph], Electric power system, 020901 industrial engineering & automation, 0203 mechanical engineering, [INFO.INFO-AU]Computer Science [cs]/Automatic Control Engineering, Reliability (statistics), ComputingMilieux_MISCELLANEOUS
Abstract

This paper deals with the functional performance analysis of various allowed configurations of a redundant mechatronics system. A new indicator called functionability is proposed, which evaluates the performance level of each possible configuration of a redundant system. This analysis is an off-line method, which is further extended for on-line reconfiguration of the system in case of faulty components. The proposed functionability analysis is illustrated through an example of a redundant electrical system. Finally, the analysis is annlied to a four wheeled mobile robot called Robucar.

Published
2019

7. Dynamic Modeling of Cooperative Planar Bionic Manipulator

Author

Arun Kumar Samantaray, Inderjeet Singh, Pushparaj Mani Pathak, Belkacem Ould Bouamama, Tsegay Mulu Girmay, Rochdi Merzouki, Department of Mechanical and Industrial Engineering, IIT Roorkee, Indian Institute of Technology Roorkee (IIT Roorkee), Méthodes et Outils pour la Conception Intégrée de Systèmes (MOCIS), Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 (CRIStAL), Centrale Lille-Université de Lille-Centre National de la Recherche Scientifique (CNRS)-Centrale Lille-Université de Lille-Centre National de la Recherche Scientifique (CNRS), Indian Institute of Technology Kharagpur (IIT Kharagpur), LAGIS-MOCIS, Laboratoire d'Automatique, Génie Informatique et Signal (LAGIS), Université de Lille, Sciences et Technologies-Centrale Lille-Centre National de la Recherche Scientifique (CNRS)-Université de Lille, Sciences et Technologies-Centrale Lille-Centre National de la Recherche Scientifique (CNRS), and Centrale Lille-Université de Lille-Centre National de la Recherche Scientifique (CNRS)

Subjects
0209 industrial biotechnology, Bending (metalworking), Underactuation, Computer science, 0206 medical engineering, Degrees of freedom, 02 engineering and technology, 020601 biomedical engineering, System dynamics, [SPI.AUTO]Engineering Sciences [physics]/Automatic, Computer Science::Robotics, 020901 industrial engineering & automation, Planar, Control theory, [INFO.INFO-AU]Computer Science [cs]/Automatic Control Engineering, Robot, [INFO.INFO-RB]Computer Science [cs]/Robotics [cs.RO], Manipulator, Bond graph, ComputingMilieux_MISCELLANEOUS
Abstract

Bionic robots, imply the robots which are inspired by biological life forms. The manipulator robots inspired from elephant trunk are good example of bionic robots. These are continuous robots with bending backbones and high degrees of freedom. Ideally, the compliant nature of such manipulator delivers infinite degrees of freedom, which makes it difficult to control them at the space task. However, all these degrees of freedoms cannot be actuated, thus these robots are always underactuated, i.e., they provide vast configurations with few inputs. In this paper, a multi-section bionic manipulator, namely the compact bionic handling assistant (CBHA), is dynamically modeled using bond graph. Assuming planar robot that contains a single concentrated mass per section, dynamic equations for each bellow are derived by means of bond graph modeling. Simulation results using lumped model are shown to validate the model.

Published
2019

8. Fully distributed time-varying formation-containment control for large-scale nonholonomic vehicles with an unknown real leader

Author

Ahmed Rahmani, Guoguang Wen, Wei Jiang, Méthodes et Outils pour la Conception Intégrée de Systèmes (MOCIS), Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 (CRIStAL), Centrale Lille-Université de Lille-Centre National de la Recherche Scientifique (CNRS)-Centrale Lille-Université de Lille-Centre National de la Recherche Scientifique (CNRS), Centrale Lille-Université de Lille-Centre National de la Recherche Scientifique (CNRS), Centrale Lille, Aalto University, LAGIS-MOCIS, Laboratoire d'Automatique, Génie Informatique et Signal (LAGIS), Université de Lille, Sciences et Technologies-Centrale Lille-Centre National de la Recherche Scientifique (CNRS)-Université de Lille, Sciences et Technologies-Centrale Lille-Centre National de la Recherche Scientifique (CNRS), and Beijing Jiaotong University (BJTU)

Subjects
Nonholonomic system, 0209 industrial biotechnology, Computer science, 02 engineering and technology, Observer (special relativity), Computer Science Applications, 020901 industrial engineering & automation, Control and Systems Engineering, Control theory, [INFO.INFO-MA]Computer Science [cs]/Multiagent Systems [cs.MA], [INFO.INFO-AU]Computer Science [cs]/Automatic Control Engineering, 0202 electrical engineering, electronic engineering, information engineering, Graph (abstract data type), 020201 artificial intelligence & image processing, ComputingMilieux_MISCELLANEOUS
Abstract

This paper addresses the time-varying formation-containment (FC) problem for general linear multi-agent systems based on an observer viewpoint under the directed communication graph which contains ...

Published
2019

9. Modeling of the Multi-domain Steering System with Hybrid Dynamics for an Over-actuated Autonomous Vehicle

Author

Rochdi Merzouki, Ismail Bensekrane, Pushpendra Kumar, Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 (CRIStAL), Centrale Lille-Université de Lille-Centre National de la Recherche Scientifique (CNRS), Méthodes et Outils pour la Conception Intégrée de Systèmes (MOCIS), Centrale Lille-Université de Lille-Centre National de la Recherche Scientifique (CNRS)-Centrale Lille-Université de Lille-Centre National de la Recherche Scientifique (CNRS), LAGIS-MOCIS, Laboratoire d'Automatique, Génie Informatique et Signal (LAGIS), and Université de Lille, Sciences et Technologies-Centrale Lille-Centre National de la Recherche Scientifique (CNRS)-Université de Lille, Sciences et Technologies-Centrale Lille-Centre National de la Recherche Scientifique (CNRS)

Subjects
0301 basic medicine, 0209 industrial biotechnology, Computer science, business.industry, Control engineering, 02 engineering and technology, Kinematics, System dynamics, [SPI.AUTO]Engineering Sciences [physics]/Automatic, [SPI.MECA.GEME]Engineering Sciences [physics]/Mechanics [physics.med-ph]/Mechanical engineering [physics.class-ph], Vehicle dynamics, 03 medical and health sciences, 030104 developmental biology, 020901 industrial engineering & automation, Software, Hybrid system, Container (abstract data type), MATLAB, business, computer, Bond graph, ComputingMilieux_MISCELLANEOUS, computer.programming_language
Abstract

This paper presents modeling of a complex multidomain steering system, which consists of electrical, hydraulic, and mechanical physical subsystems. Moreover, it represents a hybrid system with continuous and discrete dynamics. The considered system is the steering system of an over-actuated heavy autonomous vehicle, which is used for container (size of 40 feet) transport in the port terminal. This Intelligent Autonomous Vehicle (IAV) can switch between three kinematic configurations based on combinations of its steering actuations. In this paper, the steering system is modeled using power-based graphical modeling approach called Bond Graph (BG). BG enables dynamic modeling of multi-domain systems directly from their physical structure. In addition, BG allows modeling of hybrid systems, i.e., Hybrid BG (HBG). The developed model is validated through co-simulation between Matlab/Simulink and a professional software for real-time simulation of vehicle dynamics called SCANeR Studio. Dynamics of IAV in SCANeR have been developed based on experimental data. The dynamic behavior of IAV is analyzed and compared in three different configurations.

Published
2018

10. Bond Graph based Power Consumption Estimation of a Non-holonomic Wheeled Mobile Robot with Multiple Driving Modes

Author

Kumar, Pushpendra, Bensekrane, Ismail, Merzouki, Rochdi, Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 (CRIStAL), Centrale Lille-Université de Lille-Centre National de la Recherche Scientifique (CNRS), Méthodes et Outils pour la Conception Intégrée de Systèmes (MOCIS), Centrale Lille-Université de Lille-Centre National de la Recherche Scientifique (CNRS)-Centrale Lille-Université de Lille-Centre National de la Recherche Scientifique (CNRS), LAGIS-MOCIS, Laboratoire d'Automatique, Génie Informatique et Signal (LAGIS), and Université de Lille, Sciences et Technologies-Centrale Lille-Centre National de la Recherche Scientifique (CNRS)-Université de Lille, Sciences et Technologies-Centrale Lille-Centre National de la Recherche Scientifique (CNRS)

Subjects
ComputingMilieux_MISCELLANEOUS, [SPI.AUTO]Engineering Sciences [physics]/Automatic, [SPI.MECA.GEME]Engineering Sciences [physics]/Mechanics [physics.med-ph]/Mechanical engineering [physics.class-ph]
Abstract

International audience

Published
2018

11. Energy Planning for Unmanned Over-Actuated Road Vehicle

Author

Achille Melingui, Vincent Coelen, Ismail Bensekrane, Rochdi Merzouki, Yacine Amara, Pushpendra Kumar, Centre de Recherche en Informatique, Signal et Automatique de Lille (CRIStAL) - UMR 9189 (CRIStAL), Ecole Centrale de Lille-Université de Lille-Centre National de la Recherche Scientifique (CNRS), Electrical and Telecommunications Engineering Department of Ecole Nationale Supérieure Polytechnique, the University of Yaoundé, LAGIS-MOCIS, Laboratoire d'Automatique, Génie Informatique et Signal (LAGIS), Université de Lille, Sciences et Technologies-Ecole Centrale de Lille-Centre National de la Recherche Scientifique (CNRS)-Université de Lille, Sciences et Technologies-Ecole Centrale de Lille-Centre National de la Recherche Scientifique (CNRS), Groupe de Recherche en Electrotechnique et Automatique du Havre (GREAH), Université Le Havre Normandie (ULH), Normandie Université (NU)-Normandie Université (NU), Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 (CRIStAL), Centrale Lille-Université de Lille-Centre National de la Recherche Scientifique (CNRS), and Université de Lille, Sciences et Technologies-Centrale Lille-Centre National de la Recherche Scientifique (CNRS)-Université de Lille, Sciences et Technologies-Centrale Lille-Centre National de la Recherche Scientifique (CNRS)

Subjects
Estimation, Artificial neural network, Computer science, Property (programming), Energy planning management, 020208 electrical & electronic engineering, [SPI.NRJ]Engineering Sciences [physics]/Electric power, Mode (statistics), 020302 automobile design & engineering, 02 engineering and technology, Kinematics, Energy planning, Dynamic programming, [SPI.AUTO]Engineering Sciences [physics]/Automatic, [SPI.MECA.GEME]Engineering Sciences [physics]/Mechanics [physics.med-ph]/Mechanical engineering [physics.class-ph], Computer Science::Robotics, 0203 mechanical engineering, Control theory, Power consumption, 0202 electrical engineering, electronic engineering, information engineering, Neuro-Fuzzy modeling, Power consumption estimation, ComputingMilieux_MISCELLANEOUS
Abstract

International audience; Energy planning for unmanned road vehicles (URV)s is an important step for the management of the autonomous driving. This energy planning depends on the model for power consumption estimation related to URVs. Generally URVs are over-actuated, and this property leads to multiple kinematic configurations for driving. Consequently, it adds more constraints and more complexity for energy planning. In this paper, a Neuro-Fuzzy model is developed for power consumption estimation for different driving modes configurations of URV. Furthermore, a dynamic programming algorithm is applied to find the optimal velocity profile, and the optimal configuration mode in each segment of the road for an over-actuated URV called RobuCAR, used for experimental validation.

Published
2018

12. Bond Graph Modeling of a Holonomic Mobile Platform with Four Mecanum Wheels

Author

Kumar, Pushpendra, Lakhal, Othman, Merzouki, Rochdi, Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 (CRIStAL), Centrale Lille-Université de Lille-Centre National de la Recherche Scientifique (CNRS), LAGIS-MOCIS, Laboratoire d'Automatique, Génie Informatique et Signal (LAGIS), and Université de Lille, Sciences et Technologies-Centrale Lille-Centre National de la Recherche Scientifique (CNRS)-Université de Lille, Sciences et Technologies-Centrale Lille-Centre National de la Recherche Scientifique (CNRS)

Subjects
ComputingMilieux_MISCELLANEOUS, [SPI.AUTO]Engineering Sciences [physics]/Automatic, [SPI.MECA.GEME]Engineering Sciences [physics]/Mechanics [physics.med-ph]/Mechanical engineering [physics.class-ph]
Abstract

International audience

Published
2018

13. Motion Planning for a Humanoid Mobile Manipulator System

Author

Wei Jiang, Qiang Zhan, Ahmed Rahmani, Yan Wei, Chang'an University, Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 (CRIStAL), Centrale Lille-Université de Lille-Centre National de la Recherche Scientifique (CNRS), LAGIS-MOCIS, Laboratoire d'Automatique, Génie Informatique et Signal (LAGIS), Université de Lille, Sciences et Technologies-Centrale Lille-Centre National de la Recherche Scientifique (CNRS)-Université de Lille, Sciences et Technologies-Centrale Lille-Centre National de la Recherche Scientifique (CNRS), and Beihang University (BUAA)

Subjects
FOS: Computer and information sciences, 0209 industrial biotechnology, Mobile manipulator, Computer science, Mechanical Engineering, Control engineering, 02 engineering and technology, Multi-objective optimization, Manipulator system, Computer Science - Robotics, 020901 industrial engineering & automation, Artificial Intelligence, 0202 electrical engineering, electronic engineering, information engineering, [INFO.INFO-RB]Computer Science [cs]/Robotics [cs.RO], 020201 artificial intelligence & image processing, Motion planning, Robotics (cs.RO), ComputingMilieux_MISCELLANEOUS
Abstract

A high redundant non-holonomic humanoid mobile dual-arm manipulator system is presented in this paper where the motion planning to realize "human-like" autonomous navigation and manipulation tasks is studied. Firstly, an improved MaxiMin NSGA-II algorithm, which optimizes five objective functions to solve the problems of singularity, redundancy, and coupling between mobile base and manipulator simultaneously, is proposed to design the optimal pose to manipulate the target object. Then, in order to link the initial pose and that optimal pose, an off-line motion planning algorithm is designed. In detail, an efficient direct-connect bidirectional RRT and gradient descent algorithm is proposed to reduce the sampled nodes largely, and a geometric optimization method is proposed for path pruning. Besides, head forward behaviors are realized by calculating the reasonable orientations and assigning them to the mobile base to improve the quality of human-robot interaction. Thirdly, the extension to on-line planning is done by introducing real-time sensing, collision-test and control cycles to update robotic motion in dynamic environments. Fourthly, an EEs' via-point-based multi-objective genetic algorithm is proposed to design the "human-like" via-poses by optimizing four objective functions. Finally, numerous simulations are presented to validate the effectiveness of proposed algorithms., 26 pages, 9 figures

Published
2018

14. Towards adaptive power consumption estimation for over-actuated unmanned vehicles

Author

Yacine Amara, Pushpendra Kumar, Ismail Bensekrane, Rochdi Merzouki, Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 (CRIStAL), Centrale Lille-Université de Lille-Centre National de la Recherche Scientifique (CNRS), Groupe de Recherche en Electrotechnique et Automatique du Havre (GREAH), Université Le Havre Normandie (ULH), Normandie Université (NU)-Normandie Université (NU), LAGIS-MOCIS, Laboratoire d'Automatique, Génie Informatique et Signal (LAGIS), Université de Lille, Sciences et Technologies-Centrale Lille-Centre National de la Recherche Scientifique (CNRS)-Université de Lille, Sciences et Technologies-Centrale Lille-Centre National de la Recherche Scientifique (CNRS), Méthodes et Outils pour la Conception Intégrée de Systèmes (MOCIS), Centrale Lille-Université de Lille-Centre National de la Recherche Scientifique (CNRS)-Centrale Lille-Université de Lille-Centre National de la Recherche Scientifique (CNRS), École Militaire Polytechnique [Alger] (EMP), Ecole Militaire Polytechnique [Alger] (EMP), and Ministère de l'Enseignement Supérieur et de la Recherche Scientifique [Algérie] (MESRS)-Ministère de la Défense Nationale [Algérie]

Subjects
Cosimulation, Computer science, 020208 electrical & electronic engineering, [SPI.NRJ]Engineering Sciences [physics]/Electric power, Degree of redundancy, 020302 automobile design & engineering, 02 engineering and technology, Curvature, Automotive engineering, [SPI.AUTO]Engineering Sciences [physics]/Automatic, [SPI.MECA.GEME]Engineering Sciences [physics]/Mechanics [physics.med-ph]/Mechanical engineering [physics.class-ph], Vehicle dynamics, 0203 mechanical engineering, Power demand, Power consumption, Degree of steerability, 0202 electrical engineering, electronic engineering, information engineering, Dynamic vehicle, Redundancy (engineering), Power consumption estimation, ComputingMilieux_MISCELLANEOUS, Unmanned road vehicle
Abstract

International audience; This paper deals with the estimation of power consumption for an unmanned road vehicle, according to the degree of steerability, the degree of redundancy and the path curvature changes. Thus, the main dynamic behaviors inducing directly or indirectly the power consumption for an autonomous road vehicle are considered for uniform and uniformly variable motions less than 15km/h. A comparison between different scenarios of piloting has been validated experimentally and through co-simulation using professional real-time dynamic vehicle simulator namely SCANeR Studio(c).

Published
2017

15. Automated Model Builder of Hybrid Bond Graph : Application to a two level inverter

Author

Six, B, Ould-Bouamama, B., Gehin, Anne-Lise, LAGIS-MOCIS, Laboratoire d'Automatique, Génie Informatique et Signal (LAGIS), and Université de Lille, Sciences et Technologies-Centrale Lille-Centre National de la Recherche Scientifique (CNRS)-Université de Lille, Sciences et Technologies-Centrale Lille-Centre National de la Recherche Scientifique (CNRS)

Subjects
[INFO.INFO-MO]Computer Science [cs]/Modeling and Simulation, ComputingMilieux_MISCELLANEOUS, [SPI.TRON]Engineering Sciences [physics]/Electronics
Abstract

International audience

Published
2017

16. Event driven hybrid bond graph for diagnosis

Author

Anne-Lise Gehin, Ibrahim Abdallah, Belkacem Ould Bouamama, Méthodes et Outils pour la Conception Intégrée de Systèmes (MOCIS), Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 (CRIStAL), Centrale Lille-Université de Lille-Centre National de la Recherche Scientifique (CNRS)-Centrale Lille-Université de Lille-Centre National de la Recherche Scientifique (CNRS), LAGIS-MOCIS, Laboratoire d'Automatique, Génie Informatique et Signal (LAGIS), and Université de Lille, Sciences et Technologies-Centrale Lille-Centre National de la Recherche Scientifique (CNRS)-Université de Lille, Sciences et Technologies-Centrale Lille-Centre National de la Recherche Scientifique (CNRS)

Subjects
0209 industrial biotechnology, Hybrid Bond, Engineering, Theoretical computer science, business.industry, 02 engineering and technology, Functional modeling, Fault detection and isolation, Automaton, 020901 industrial engineering & automation, 020401 chemical engineering, Hybrid system, Graph (abstract data type), Artificial intelligence, 0204 chemical engineering, business, Bond graph, [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing, ComputingMilieux_MISCELLANEOUS
Abstract

This paper proposes a generic tool named Hybrid Bond Graph (HBG) driven by an automaton for modeling and fault detection and isolation (FDI). The innovative interest is the use of only one tool (the Bond Graph) for the behavioral and functional modeling and also for the FDI task as well, while taking into account all different modes of the hybrid system. A hybrid hydraulic example is presented to demonstrate the effectiveness of this technique.

Published
2016

17. Structure of a Magnetic Flux Annihilation Layer Formed by the Collision of Supersonic, Magnetized Plasma Flows

Author

Andrea Ciardi, Francisco Suzuki-Vidal, Jian Wu, T. Robinson, Jeremy Chittenden, Nicholas Stuart, Nuno Loureiro, Q. Yang, G. C. Burdiak, George Swadling, Nicolas Niasse, Sergey Lebedev, Roland Smith, Thomas Clayson, Lee Suttle, Jack Hare, Adam Frank, Laboratoire d'Etude du Rayonnement et de la Matière en Astrophysique (LERMA), École normale supérieure - Paris (ENS Paris), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire de Paris, Université Paris sciences et lettres (PSL)-Université de Cergy Pontoise (UCP), Université Paris-Seine-Université Paris-Seine-Centre National de la Recherche Scientifique (CNRS), Blackett Laboratory, Imperial College London, Tsinghua University [Beijing] (THU), LAGIS-MOCIS, Laboratoire d'Automatique, Génie Informatique et Signal (LAGIS), Université de Lille, Sciences et Technologies-Centrale Lille-Centre National de la Recherche Scientifique (CNRS)-Université de Lille, Sciences et Technologies-Centrale Lille-Centre National de la Recherche Scientifique (CNRS), Instituto de Ciencias Nucleares [Mexico], Universidad Nacional Autónoma de México (UNAM), Engineering & Physical Science Research Council (EPSRC), US Department of Energy, U.S Department of Energy, École normale supérieure - Paris (ENS-PSL), and Universidad Nacional Autónoma de México = National Autonomous University of Mexico (UNAM)

Subjects
Physics, [PHYS]Physics [physics], General Physics, 02 Physical Sciences, [SDU.ASTR]Sciences of the Universe [physics]/Astrophysics [astro-ph], Thomson scattering, Plasma parameters, General Physics and Astronomy, Plasma, 01 natural sciences, Magnetic flux, 010305 fluids & plasmas, Ion, Magnetic field, Physics::Plasma Physics, Ionization, Physics::Space Physics, 0103 physical sciences, Supersonic speed, Atomic physics, [PHYS.ASTR]Physics [physics]/Astrophysics [astro-ph], 010303 astronomy & astrophysics, ComputingMilieux_MISCELLANEOUS
Abstract

We present experiments characterizing the detailed structure of a current layer, generated by the collision of two counterstreaming, supersonic and magnetized aluminum plasma flows. The antiparallel magnetic fields advected by the flows are found to be mutually annihilated inside the layer, giving rise to a bifurcated current structure-two narrow current sheets running along the outside surfaces of the layer. Measurements with Thomson scattering show a fast outflow of plasma along the layer and a high ion temperature (T_{i}∼Z[over ¯]T_{e}, with average ionization Z[over ¯]=7). Analysis of the spatially resolved plasma parameters indicates that the advection and subsequent annihilation of the inflowing magnetic flux determines the structure of the layer, while the ion heating could be due to the development of kinetic, current-driven instabilities.

Published
2016

18. Ab-initio molecular treatment of the symmetric Mg2+–Mg charge transfer process

Author

A. Zaidi, M. Amami, Marie-Christine Bacchus-Montabonel, S. Lahmar, A. Moussa, Laboratoire des Sciences des Matériaux et d'Environnement, Sfax, Université de Sfax - University of Sfax, LTI, ENSA de Tanger, LAGIS-MOCIS, Laboratoire d'Automatique, Génie Informatique et Signal (LAGIS), Université de Lille, Sciences et Technologies-Centrale Lille-Centre National de la Recherche Scientifique (CNRS)-Université de Lille, Sciences et Technologies-Centrale Lille-Centre National de la Recherche Scientifique (CNRS), Laboratoire de Spectroscopie Atomique, Moléculaire et Applications (LSAMA), Université de Tunis El Manar (UTM)-Faculté des Sciences Mathématiques, Physiques et Naturelles de Tunis (FST), Université de Tunis El Manar (UTM), Institut Lumière Matière [Villeurbanne] (ILM), Centre National de la Recherche Scientifique (CNRS)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon, Laboratoire des technologies Innovantes [Tanger] (LTI), Ecole Nationale des Sciences Appliquées [Tanger] (ENSAT), Université Claude Bernard Lyon 1 (UCBL), and Université de Lyon-Université de Lyon-Centre National de la Recherche Scientifique (CNRS)

Subjects
Range (particle radiation), Chemistry, Ab initio, General Physics and Astronomy, Charge (physics), 02 engineering and technology, 010402 general chemistry, 021001 nanoscience & nanotechnology, 01 natural sciences, 7. Clean energy, Potential energy, Symmetry (physics), 0104 chemical sciences, Electronic states, [CHIM.THEO]Chemical Sciences/Theoretical and/or physical chemistry, Transfer (group theory), Excited state, Physical and Theoretical Chemistry, Atomic physics, 0210 nano-technology, [PHYS.ASTR]Physics [physics]/Astrophysics [astro-ph], ComputingMilieux_MISCELLANEOUS
Abstract

Potential energy curves of the MgMg 2+ molecular system in the lowest electronic states as well as radial and rotational couplings between these states are obtained from ab-initio calculations at the CASSCF/MRCI level of theory using large basis sets. These data are used to investigate, via the semi-classical molecular close coupling method, the single symmetric charge transfer processes of Mg 2+ –Mg collisions in the [1.0–650] keV laboratory energy range. Total and partial cross sections for the expected capture channels are calculated and compared with the available experimental and theoretical results.

Published
2016

19. Fault Prognosis Based on Physical and Stochastic Models

Author

Nacer K. M'Sirdi, Samir Benmoussa, Thi-Bich-Lien Nguyen, Mohand Djeziri, Laboratoire des Sciences de l'Information et des Systèmes (LSIS), Centre National de la Recherche Scientifique (CNRS)-Arts et Métiers Paristech ENSAM Aix-en-Provence-Université de Toulon (UTLN)-Aix Marseille Université (AMU), LAGIS-MOCIS, Laboratoire d'Automatique, Génie Informatique et Signal (LAGIS), Université de Lille, Sciences et Technologies-Centrale Lille-Centre National de la Recherche Scientifique (CNRS)-Université de Lille, Sciences et Technologies-Centrale Lille-Centre National de la Recherche Scientifique (CNRS), Proceeding of the 2016 European Control Conference, and Aix Marseille Université (AMU)-Université de Toulon (UTLN)-Arts et Métiers Paristech ENSAM Aix-en-Provence-Centre National de la Recherche Scientifique (CNRS)

Subjects
0209 industrial biotechnology, Mean time between failures, Engineering, Stochastic modelling, business.industry, 020208 electrical & electronic engineering, 02 engineering and technology, Fault (power engineering), Reliability engineering, 020901 industrial engineering & automation, [INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing, [INFO.INFO-AU]Computer Science [cs]/Automatic Control Engineering, 0202 electrical engineering, electronic engineering, information engineering, Redundancy (engineering), [INFO]Computer Science [cs], State (computer science), business, Bond graph, ComputingMilieux_MISCELLANEOUS, Degradation (telecommunications)
Abstract

This paper deals with a fault prognosis method based on physical and stochastic models. Health Indicators (HIs) are generated from a bond graph model using analytical redundancy principle, then, the generated HIs are used to assess the current state of the system and to detect the degradation beginning. To overcome the lack of information on the degradation dynamic, an updated stochastic model, associated with the available information about the Mean Time Before failure (MTBF) is used to estimate the Remaining Useful Life (RUL). An application example illustrates the implementation of the proposed approach and the obtained results show its effectiveness.

Published
2016

20. A productivity signal feedback controller for continuous bioreactors

Author

Jean-Yves Dieulot, LAGIS-MOCIS, Laboratoire d'Automatique, Génie Informatique et Signal (LAGIS), and Université de Lille, Sciences et Technologies-Centrale Lille-Centre National de la Recherche Scientifique (CNRS)-Université de Lille, Sciences et Technologies-Centrale Lille-Centre National de la Recherche Scientifique (CNRS)

Subjects
Specific growth, 0209 industrial biotechnology, Engineering, business.industry, 02 engineering and technology, Signal, Substrate concentration, Industrial and Manufacturing Engineering, [SPI.AUTO]Engineering Sciences [physics]/Automatic, Computer Science Applications, Dilution, 020901 industrial engineering & automation, 020401 chemical engineering, Control and Systems Engineering, Control theory, Modeling and Simulation, Bioreactor, Feedback controller, 0204 chemical engineering, Bioprocess, business, Productivity, ComputingMilieux_MISCELLANEOUS
Abstract

The control of continuous stirred bioreactors using productivity signal feedback consists of using the direct relation between the optimal static dilution rate and the optimal static productivity. This strategy drives the bioprocess to its optimal productivity point, irrespective of the feeding substrate concentration, and specific growth rate or substrate concentration estimates. While the algorithm covers a wide class of bioprocesses, explicit relations are given for the Monod and Haldane cases.

Published
2012

21. An innovative subdivision-ICP registration method for tool-path correction applied to deformed aircraft parts machining

Author

Richard Bearee, Jean-Yves Dieulot, Patrice Rabaté, Laboratoire des Sciences de l'Information et des Systèmes : Ingénierie Numérique des Systèmes Mécaniques (LSIS- INSM), Centre National de la Recherche Scientifique (CNRS)-Institut National des Sciences de l'Informatique et ses Interactions-Université de Provence - Aix-Marseille 1-Université Paul Cézanne - Aix-Marseille 3-Université de la Méditerranée - Aix-Marseille 2, Laboratoire d'Automatique, Génie Informatique et Signal (LAGIS), Université de Lille, Sciences et Technologies-Centrale Lille-Centre National de la Recherche Scientifique (CNRS), EADS Innovation Works [Toulouse], EADS - European Aeronautic Defense and Space, LAGIS-MOCIS, Université de Lille, Sciences et Technologies-Centrale Lille-Centre National de la Recherche Scientifique (CNRS)-Université de Lille, Sciences et Technologies-Centrale Lille-Centre National de la Recherche Scientifique (CNRS), Laboratoire des Sciences de l'Information et des Systèmes : Ingénierie Numérique des Systèmes Mécaniques [LSIS- INSM], Laboratoire d'Automatique, Génie Informatique et Signal [LAGIS], and Université de la Méditerranée - Aix-Marseille 2-Université Paul Cézanne - Aix-Marseille 3-Université de Provence - Aix-Marseille 1-Institut National des Sciences de l'Informatique et ses Interactions-Centre National de la Recherche Scientifique (CNRS)

Subjects
0209 industrial biotechnology, Engineering, Ingénierie assistée par ordinateur [Informatique], ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION, Image registration, Mechanical engineering, Aeronautics, 02 engineering and technology, Modélisation et simulation [Informatique], Curvature, Industrial and Manufacturing Engineering, [SPI.AUTO]Engineering Sciences [physics]/Automatic, Iterative Closest Point, 020901 industrial engineering & automation, Automatique [Informatique], Machining, [INFO.INFO-AU]Computer Science [cs]/Automatic Control Engineering, 0202 electrical engineering, electronic engineering, information engineering, Workcell, Computer vision, ComputingMilieux_MISCELLANEOUS, ComputingMethodologies_COMPUTERGRAPHICS, Subdivision, business.industry, Mechanical Engineering, Iterative closest point, Optimisation et contrôle [Mathématique], [INFO.INFO-IA]Computer Science [cs]/Computer Aided Engineering, [INFO.INFO-MO]Computer Science [cs]/Modeling and Simulation, Clamping, Computer Science Applications, Control and Systems Engineering, Robot, 020201 artificial intelligence & image processing, [MATH.MATH-OC]Mathematics [math]/Optimization and Control [math.OC], Artificial intelligence, business, Software
Abstract

A new and fast registration algorithm has been proposed to update the tool-path of a deburring robot, intended to machining composite workpieces under gravity and clamping deformations. A Subdivision Iterative Closest Point algorithm, which considersdifferent parts of the contour with respect to curvature, allows to obtain far better results than classical methods, without complicated assumptions or computations.The procedure has shown to be effective for porthole and nose-cone deburring. Experimental tests conducted on robotic milling workcell demonstrated the efficiency of the registration method.; International audience; A new and fast registration algorithm has been proposed to update the tool-path of a deburring robot, intended to machining composite workpieces under gravity and clamping deformations. A Subdivision Iterative Closest Point algorithm, which considersdifferent parts of the contour with respect to curvature, allows to obtain far better results than classical methods, without complicated assumptions or computations.The procedure has shown to be effective for porthole and nose-cone deburring. Experimental tests conducted on robotic milling workcell demonstrated the efficiency of the registration method.

Published
2010

22. Modeling, control and robustness analysis for a road sector

Author

Geneviève Dauphin-Tanguy, Dumitru Popescu, Catalin Dimon, LAGIS-MOCIS, Laboratoire d'Automatique, Génie Informatique et Signal (LAGIS), and Université de Lille, Sciences et Technologies-Centrale Lille-Centre National de la Recherche Scientifique (CNRS)-Université de Lille, Sciences et Technologies-Centrale Lille-Centre National de la Recherche Scientifique (CNRS)

Subjects
Engineering, Control algorithm, business.industry, Experimental data, General Medicine, 01 natural sciences, [SPI.AUTO]Engineering Sciences [physics]/Automatic, 010305 fluids & plasmas, Robustness (computer science), Control theory, 0103 physical sciences, Sampling time, 010306 general physics, business, Closed loop, Road traffic, ComputingMilieux_MISCELLANEOUS
Abstract

When modeling a real process the effects of nonlinearities must be taken into account, especially when designing a control algorithm. Such is the case of a road traffic sector, which will be considered from a macroscopic point of view. An input-output model is proposed, based on experimental data, and then a control algorithm is used to obtain imposed performances for the closed loop system. The robustness of control is taken into account, by assessing the modulus margin. Based on this indicator the robustness of the control law is analyzed in order to find what nonlinearities it can cope with. Following, we try to prove that the system can be controlled using the same algorithm, when different types of perturbations affect the system.

Published
2010

23. Robust PID control of a linear mechanical axis: A case study

Author

Frederic Colas, Jean-Yves Dieulot, LAGIS-MOCIS, Laboratoire d'Automatique, Génie Informatique et Signal (LAGIS), Université de Lille, Sciences et Technologies-Centrale Lille-Centre National de la Recherche Scientifique (CNRS)-Université de Lille, Sciences et Technologies-Centrale Lille-Centre National de la Recherche Scientifique (CNRS), Laboratoire d’Électrotechnique et d’Électronique de Puissance - ULR 2697 (L2EP), Centrale Lille-Haute Etude d'Ingénieurs-Université de Lille-Arts et Métiers Sciences et Technologies, HESAM Université (HESAM)-HESAM Université (HESAM), Centrale Lille-Université de Lille-Arts et Métiers Sciences et Technologies, HESAM Université - Communauté d'universités et d'établissements Hautes écoles Sorbonne Arts et métiers université (HESAM)-HESAM Université - Communauté d'universités et d'établissements Hautes écoles Sorbonne Arts et métiers université (HESAM)-JUNIA (JUNIA), and Université catholique de Lille (UCL)-Université catholique de Lille (UCL)

Subjects
0209 industrial biotechnology, Engineering, PID controller, 02 engineering and technology, [SPI.AUTO]Engineering Sciences [physics]/Automatic, law.invention, Industrial robot, 020901 industrial engineering & automation, Control theory, Robustness (computer science), law, 0202 electrical engineering, electronic engineering, information engineering, Motion planning, Electrical and Electronic Engineering, ComputingMilieux_MISCELLANEOUS, business.industry, Mechanical Engineering, 020208 electrical & electronic engineering, Linear system, Control engineering, Computer Science Applications, Control and Systems Engineering, Trajectory planning, Robust control, Engineering design process, business
Abstract

This paper proposes a case study of the design of robust control for flexible axes. Robust parametric methods are worked out, and an heuristic initial tuning of the PID controller is proposed from additional pole-placement constraints on the rigid mode. Experimental validations highlight the relevance of adequate closed-loop control and trajectory planning design.

Published
2009

24. Intelligent Monitoring of an Industrial Robot

Author

Rochdi Merzouki, Belkacem Ould-Bouamama, Khaled Fawaz, LAGIS-MOCIS, Laboratoire d'Automatique, Génie Informatique et Signal (LAGIS), and Université de Lille, Sciences et Technologies-Centrale Lille-Centre National de la Recherche Scientifique (CNRS)-Université de Lille, Sciences et Technologies-Centrale Lille-Centre National de la Recherche Scientifique (CNRS)

Subjects
0209 industrial biotechnology, Engineering, Record locking, Robot calibration, business.industry, 020208 electrical & electronic engineering, Control engineering, 02 engineering and technology, Co-simulation, Collision, Fault detection and isolation, [SPI.AUTO]Engineering Sciences [physics]/Automatic, law.invention, Computer Science::Robotics, Industrial robot, 020901 industrial engineering & automation, law, 0202 electrical engineering, electronic engineering, information engineering, Robot, Joint (building), business, ComputingMilieux_MISCELLANEOUS, Simulation
Abstract

This paper deals with a model based real-time virtual simulator of industrial robot in order to detect eventual external collision. The implemented method concerns a model based Fault Detection and Isolation used to determine any lock of motion from an actuated robot joint after contact with static obstacles. Online implementation has been done in order to validate the proposed approach.

Published
2008

25. observability of spontaneous switched linear singular systems

Author

Hihi, H., Bendaoud, M., Rahmani, Ahmed, LAGIS-MOCIS, Laboratoire d'Automatique, Génie Informatique et Signal (LAGIS), and Université de Lille, Sciences et Technologies-Centrale Lille-Centre National de la Recherche Scientifique (CNRS)-Université de Lille, Sciences et Technologies-Centrale Lille-Centre National de la Recherche Scientifique (CNRS)

Subjects
[INFO.INFO-AU]Computer Science [cs]/Automatic Control Engineering, ComputingMilieux_MISCELLANEOUS
Abstract

International audience

Published
2015

26. Proportional-integral observer design for switching systems-bond graph approach

Author

Hajji, Naima, Rahmani, Ahmed, LAGIS-MOCIS, Laboratoire d'Automatique, Génie Informatique et Signal (LAGIS), and Université de Lille, Sciences et Technologies-Centrale Lille-Centre National de la Recherche Scientifique (CNRS)-Université de Lille, Sciences et Technologies-Centrale Lille-Centre National de la Recherche Scientifique (CNRS)

Subjects
[INFO.INFO-AU]Computer Science [cs]/Automatic Control Engineering, ComputingMilieux_MISCELLANEOUS
Abstract

International audience

Published
2015

27. Formation Tracking of Fractional-Order Multi-Agent Systems Based on Error Predictor

Author

Ahmed Rahmani, Yongguang Yu, Guoguang Wen, Jing Bai, Laboratoire d'Automatique, Génie Informatique et Signal (LAGIS), Université de Lille, Sciences et Technologies-Centrale Lille-Centre National de la Recherche Scientifique (CNRS), LAGIS-MOCIS, Université de Lille, Sciences et Technologies-Centrale Lille-Centre National de la Recherche Scientifique (CNRS)-Université de Lille, Sciences et Technologies-Centrale Lille-Centre National de la Recherche Scientifique (CNRS), Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 (CRIStAL), Centrale Lille-Université de Lille-Centre National de la Recherche Scientifique (CNRS), Dpt of Mathematics [Beijing Jiaotong], and Beijing Jiaotong University (BJTU)

Subjects
If and only if, Control theory, Multi-agent system, Numerical analysis, [INFO.INFO-AU]Computer Science [cs]/Automatic Control Engineering, Graph (abstract data type), Graph theory, Directed spanning tree, 16. Peace & justice, ComputingMilieux_MISCELLANEOUS, Moral graph, Mathematics
Abstract

In this paper, formation tracking problem of fractional-order multi-agent systems is studied under fixed directed communication graph. Firstly, a control law based on error predictor is proposed to achieve formation tracking. Then, the effectiveness of the control law is proved by using matrix theory, graph theory and fractional-order theory. It is shown that the formation tracking can be achieved by using the proposed control law if and only if the directed communication graph among agents has a directed spanning tree. Finally, based on the numerical method, several simulations are given to illustrate the effectiveness of the obtained results.

Published
2015

28. Merging Bond-Graphs and Signed Directed Graphs to improve FDI procedure

Author

Chatti, Nizar, Ould Bouamama, Belkacem, Gehin, Anne-Lise, Merzouki, Rochdi, LAGIS-MOCIS, Laboratoire d'Automatique, Génie Informatique et Signal (LAGIS), Université de Lille, Sciences et Technologies-Centrale Lille-Centre National de la Recherche Scientifique (CNRS)-Université de Lille, Sciences et Technologies-Centrale Lille-Centre National de la Recherche Scientifique (CNRS), Systèmes Tolérants aux Fautes (STF), Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 (CRIStAL), and Centrale Lille-Université de Lille-Centre National de la Recherche Scientifique (CNRS)-Centrale Lille-Université de Lille-Centre National de la Recherche Scientifique (CNRS)

Subjects
ComputingMilieux_MISCELLANEOUS, [SPI.AUTO]Engineering Sciences [physics]/Automatic
Abstract

International audience

Published
2013

29. Model based tracking control using Jerky behavior in platoon of vehicles

Author

Blaise Conrard, Vincent Coelen, Rochdi Merzouki, Pushpendra Kumar, LAGIS-MOCIS, Laboratoire d'Automatique, Génie Informatique et Signal (LAGIS), Université de Lille, Sciences et Technologies-Centrale Lille-Centre National de la Recherche Scientifique (CNRS)-Université de Lille, Sciences et Technologies-Centrale Lille-Centre National de la Recherche Scientifique (CNRS), Université de Lille, Sciences et Technologies-Centrale Lille-Centre National de la Recherche Scientifique (CNRS), Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 (CRIStAL), Centrale Lille-Université de Lille-Centre National de la Recherche Scientifique (CNRS), Méthodes et Outils pour la Conception Intégrée de Systèmes (MOCIS), and Centrale Lille-Université de Lille-Centre National de la Recherche Scientifique (CNRS)-Centrale Lille-Université de Lille-Centre National de la Recherche Scientifique (CNRS)

Subjects
0209 industrial biotechnology, Engineering, business.industry, Control (management), Fault tolerance, Mobile robot, 010103 numerical & computational mathematics, 02 engineering and technology, Tracking (particle physics), 01 natural sciences, [SPI.AUTO]Engineering Sciences [physics]/Automatic, [SPI.MECA.GEME]Engineering Sciences [physics]/Mechanics [physics.med-ph]/Mechanical engineering [physics.class-ph], Vehicle dynamics, 020901 industrial engineering & automation, Laser rangefinder, Platoon, 0101 mathematics, business, Simulation, Collision avoidance, ComputingMilieux_MISCELLANEOUS
Abstract

In this work, a reconstruction of the sensor-based tracking control in a platoon of autonomous vehicles is developed. This control is reproduced with accuracy in the absence of data from the laser rangefinder. Only the velocity of each involved vehicle in the platoon is considered, as well as the inter-vehicle communication. This reconstruction occurs when the laser rangefinder is disturbed or failed. It helps maintaining a fault tolerant control when the measurement is unavailable. The control strategy is validated on a real-time simulator of vehicles dynamic, based on experimental measurements, acquired from autonomous vehicles.

Published
2013

30. Fault Diagnosis and Fault-Tolerant Control of an Electric Vehicle Overactuated

Author

Rochdi Merzouki, Mustapha Ouladsine, Belkacem Ould Bouamama, Mohand Djeziri, LAGIS-MOCIS, Laboratoire d'Automatique, Génie Informatique et Signal (LAGIS), Université de Lille, Sciences et Technologies-Centrale Lille-Centre National de la Recherche Scientifique (CNRS)-Université de Lille, Sciences et Technologies-Centrale Lille-Centre National de la Recherche Scientifique (CNRS), Laboratoire de Robotique de Versailles (LRV), Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Centre National de la Recherche Scientifique (CNRS), Méthodes et Outils pour la Conception Intégrée de Systèmes (MOCIS), Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 (CRIStAL), Centrale Lille-Université de Lille-Centre National de la Recherche Scientifique (CNRS)-Centrale Lille-Université de Lille-Centre National de la Recherche Scientifique (CNRS), Laboratoire des Sciences de l'Information et des Systèmes (LSIS), Aix Marseille Université (AMU)-Université de Toulon (UTLN)-Arts et Métiers Paristech ENSAM Aix-en-Provence-Centre National de la Recherche Scientifique (CNRS), Centre National de la Recherche Scientifique (CNRS)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ), and Centre National de la Recherche Scientifique (CNRS)-Arts et Métiers Paristech ENSAM Aix-en-Provence-Université de Toulon (UTLN)-Aix Marseille Université (AMU)

Subjects
0209 industrial biotechnology, Engineering, business.product_category, Computer Networks and Communications, business.industry, 020208 electrical & electronic engineering, Aerospace Engineering, Control reconfiguration, Fault tolerance, Control engineering, 02 engineering and technology, Remotely operated underwater vehicle, Fault (power engineering), Automotive engineering, Fault detection and isolation, Vehicle dynamics, [SPI]Engineering Sciences [physics], 020901 industrial engineering & automation, Control system, Automotive Engineering, Electric vehicle, 0202 electrical engineering, electronic engineering, information engineering, Electrical and Electronic Engineering, business, ComputingMilieux_MISCELLANEOUS
Abstract

This paper deals with an embedded fault detection and isolation (FDI)-fault-tolerant control approach applied to an overactuated electric vehicle. This method is described in the following three major steps: 1) trajectory planning based on the inverse kinematic modeling of the vehicle; 2) model-based fault diagnosis of the traction system; and 3) vehicle control reconfiguration in faulty situations. Autonomous vehicles, as studied in this paper, are very suited to accomplish missions in confined space or in hostile environments (in radioactive environments and spatial programs), where the success of the mission is more important than the cost of the additional actuators. The proposed FDI approach provides an early detection of the faults, allowing safe reconfiguration of the system control. Cosimulation results using experimental data show the performances and advantages of the presented approach.

Published
2013

31. Intelligent Mechatronic Systems: Modelling, Control and Diagnosis

Author

Merzouki, Rochdi, Samantaray, A.K., Pathak, M., Ould Bouamama, Belkacem, LAGIS-MOCIS, Laboratoire d'Automatique, Génie Informatique et Signal (LAGIS), and Université de Lille, Sciences et Technologies-Centrale Lille-Centre National de la Recherche Scientifique (CNRS)-Université de Lille, Sciences et Technologies-Centrale Lille-Centre National de la Recherche Scientifique (CNRS)

Subjects
ComputingMilieux_MISCELLANEOUS, [SPI.AUTO]Engineering Sciences [physics]/Automatic
Abstract

International audience

Published
2013

32. Bond Graph Modeling of an Over-actuated Intelligent Autonomous Vehicle with Decoupled Steering Wheel

Author

Arun Kumar Samantaray, B. Ould-Bouamama, Rochdi Merzouki, Tarun Kumar Bera, LAGIS-MOCIS, Laboratoire d'Automatique, Génie Informatique et Signal (LAGIS), and Université de Lille, Sciences et Technologies-Centrale Lille-Centre National de la Recherche Scientifique (CNRS)-Université de Lille, Sciences et Technologies-Centrale Lille-Centre National de la Recherche Scientifique (CNRS)

Subjects
0209 industrial biotechnology, Engineering, InformationSystems_INFORMATIONINTERFACESANDPRESENTATION(e.g.,HCI), medicine.medical_treatment, 02 engineering and technology, Electronic differential, GeneralLiterature_MISCELLANEOUS, law.invention, [SPI.AUTO]Engineering Sciences [physics]/Automatic, InformationSystems_MODELSANDPRINCIPLES, 020901 industrial engineering & automation, Motor controller, law, 0202 electrical engineering, electronic engineering, information engineering, medicine, Torque steering, ComputingMilieux_MISCELLANEOUS, business.industry, Control engineering, Steering linkage, Steering wheel, Traction (orthopedics), Modular design, 020201 artificial intelligence & image processing, business, Bond graph
Abstract

This article deals with modeling of an intelligent autonomous vehicle with four traction wheels, four braking wheels and four-wheel steering system. The bond graph model of the integrated vehicle dynamic system is developed in a modular and hierarchical modeling environment. The Ackerman steering concept was used in the steering motor controller. Simulation results show the advantages of four-wheel steering during tight maneuvers.

Published
2012

33. Geometric Modelling of Multisection Bionic Manipulator: Experimental validation on RobotinoXT

Author

Pushparaj Mani Pathak, Vincent Coelen, Rochdi Merzouki, Coralie Escande, LAGIS-MOCIS, Laboratoire d'Automatique, Génie Informatique et Signal (LAGIS), and Université de Lille, Sciences et Technologies-Centrale Lille-Centre National de la Recherche Scientifique (CNRS)-Université de Lille, Sciences et Technologies-Centrale Lille-Centre National de la Recherche Scientifique (CNRS)

Subjects
0209 industrial biotechnology, Engineering, Mobile manipulator, business.industry, Orientation (computer vision), Parallel manipulator, Control engineering, 02 engineering and technology, [SPI.AUTO]Engineering Sciences [physics]/Automatic, 020901 industrial engineering & automation, Geometric design, Position (vector), Control theory, Component (UML), 0202 electrical engineering, electronic engineering, information engineering, Robot, 020201 artificial intelligence & image processing, Geometric modeling, business, ComputingMilieux_MISCELLANEOUS
Abstract

This paper deals firstly with experimental validation of the forward geometric models of a bionic manipulator, developed for the case of multi-section. This bionic manipulator is the main component of the mobile-manipulator robot called RobotinoXT. The choice of RobotinoXT is due to the industrial based research on mobile-bionic manipulator robot. The model is used for the overall accurate control of the position and the orientation of the end of the gripper relative to the mobile platform. Secondly, the paper describes methodology of the calculation of the inverse geometric model applied to one bending section.

Published
2012

34. Conceptual Study of a Class of Hybrid Hyper-Redundant Robot

Author

Chawki Mahfoudi, Taha Chettibi, Abdelhakim Chibani, Rochdi Merzouki, LAGIS-MOCIS, Laboratoire d'Automatique, Génie Informatique et Signal (LAGIS), Université de Lille, Sciences et Technologies-Centrale Lille-Centre National de la Recherche Scientifique (CNRS)-Université de Lille, Sciences et Technologies-Centrale Lille-Centre National de la Recherche Scientifique (CNRS), Laboratory of Structure Mechanics, and École Militaire Polytechnique [Alger] (EMP)

Subjects
0209 industrial biotechnology, Robot kinematics, Robot calibration, business.industry, ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION, Parallel manipulator, 02 engineering and technology, Kinematics, Modular design, Degrees of freedom (mechanics), Topology, [SPI.AUTO]Engineering Sciences [physics]/Automatic, Computer Science::Robotics, 020303 mechanical engineering & transports, 020901 industrial engineering & automation, 0203 mechanical engineering, Differential geometry, Control theory, Robot, business, ComputingMilieux_MISCELLANEOUS, ComputingMethodologies_COMPUTERGRAPHICS, Mathematics
Abstract

This paper describes geometric and kinematic modelling steps of a class of an hybrid hyper-redundant robot (HHRR). The main problem of such complex manipulator robot structures is the synthesis of an appropriate control of n number of degrees of freedom (DOF). Thus, it is important at the design step, to develop geometric and kinematic models allowing to reconstruct the kinematical behavior of n concatenated modules. The studied structure is considered as modular with multiple DOF and is built by connecting in serial many parallel modules. The coordinate frame distribution is based on space curve differential geometry. The inverse Geometric and kinematic models are calculated analytically for a n-DOF of HHRR manipulator while the final application is applied to the case of a 3-modules robot (18-DOF).

Published
2012

35. Plant Fault Diagnosis using Bond Graph Approach: Application to Intelligent Autonomous Vehicle

Author

Samir Benmoussa, B. Ould Bouamama, Rochdi Merzouki, LAGIS-MOCIS, Laboratoire d'Automatique, Génie Informatique et Signal (LAGIS), and Université de Lille, Sciences et Technologies-Centrale Lille-Centre National de la Recherche Scientifique (CNRS)-Université de Lille, Sciences et Technologies-Centrale Lille-Centre National de la Recherche Scientifique (CNRS)

Subjects
0209 industrial biotechnology, Engineering, business.industry, Control engineering, 02 engineering and technology, Fault detection and isolation, [SPI.AUTO]Engineering Sciences [physics]/Automatic, Axle, 020901 industrial engineering & automation, 0202 electrical engineering, electronic engineering, information engineering, Graph (abstract data type), 020201 artificial intelligence & image processing, business, Bond graph, ComputingMilieux_MISCELLANEOUS
Abstract

This paper deals with plant fault detection and isolation using the Bond Graph modeling tool. The motivation using bond graph is that the dynamic model of the system and fault detection and isolation are performed using the same tool. Based on bond graph properties, the conditions of plant fault detectability and isolability analysis are carried out structurally on the graph representing the system. The considered plant fault is a break of the transmission axle on an electromechanical system representing a quarter of an autonomous vehicle, named Robucar. Co-simulation using a vehicle simulator CALLAS/Simulink is given to show the efficiency of the methodology.

Published
2012

36. Fault Estimation and Isolation Using Bond Graph Approach

Author

Youcef Touati, B. Ould Bouamama, Rochdi Merzouki, LAGIS-MOCIS, Laboratoire d'Automatique, Génie Informatique et Signal (LAGIS), Université de Lille, Sciences et Technologies-Centrale Lille-Centre National de la Recherche Scientifique (CNRS)-Université de Lille, Sciences et Technologies-Centrale Lille-Centre National de la Recherche Scientifique (CNRS), and Université de Lille, Sciences et Technologies-Centrale Lille-Centre National de la Recherche Scientifique (CNRS)

Subjects
0209 industrial biotechnology, Engineering, Signature matrix, business.industry, Real-time computing, 02 engineering and technology, General Medicine, Residual, Fault (power engineering), Fault detection and isolation, [SPI.AUTO]Engineering Sciences [physics]/Automatic, 020901 industrial engineering & automation, Fault coverage, 0202 electrical engineering, electronic engineering, information engineering, Redundancy (engineering), 020201 artificial intelligence & image processing, Sensitivity (control systems), business, Bond graph, Algorithm, ComputingMilieux_MISCELLANEOUS
Abstract

International audience; This paper deals with fault detection and isolation using bond graph approach. The latter consists of using the analytical redundancy relations to detect the fault, and the fault signature matrix to isolate it. The generation of analytical redundancy relation is performed using the causality inversion method to automate the procedure. The contribution of this paper is the development of an algorithm of fault isolation for the faults which have the same signature. The developed procedure is based on the residuals sensitivity and in the generation of the fault estimation equations. The fault is estimated from each residual sensible to it and compared with the others to isolate it. An application on a mobile robot is done to validate this procedure.

Published
2012

37. Bond Graph Model Based and Fuzzy Logic for Robust FDI of Mechatronic Systems

Author

Nizar Chatti, Rochdi Merzouki, B. Ould Bouamama, A-L. Gehin, Y. Touati, LAGIS-MOCIS, Laboratoire d'Automatique, Génie Informatique et Signal (LAGIS), Université de Lille, Sciences et Technologies-Centrale Lille-Centre National de la Recherche Scientifique (CNRS)-Université de Lille, Sciences et Technologies-Centrale Lille-Centre National de la Recherche Scientifique (CNRS), Systèmes Tolérants aux Fautes (STF), Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 (CRIStAL), and Centrale Lille-Université de Lille-Centre National de la Recherche Scientifique (CNRS)-Centrale Lille-Université de Lille-Centre National de la Recherche Scientifique (CNRS)

Subjects
0209 industrial biotechnology, Engineering, business.industry, Control engineering, 02 engineering and technology, General Medicine, Fuzzy control system, Fault (power engineering), Fuzzy logic, Fault detection and isolation, Robust decision-making, [SPI.AUTO]Engineering Sciences [physics]/Automatic, Stuck-at fault, 020901 industrial engineering & automation, 0202 electrical engineering, electronic engineering, information engineering, 020201 artificial intelligence & image processing, Fault model, business, Bond graph, Algorithm, ComputingMilieux_MISCELLANEOUS
Abstract

Fault diagnosis is crucial for ensuring the safe operation of complex engineering systems and avoiding to execute an unsafe behaviour. This paper deals with robust decision making (RDM) for fault detection of an electromechanical system by combining the advantages of Bond Graph (BG) modelling and Fuzzy logic reasoning. The proposed fault diagnosis method is implemented in two stages. In the first stage, the residuals are deduced from the BG model allowing to build a Fault Signature Matrix (FSM) according to the sensitivity of residuals to different parameters. In the second stage, the result of FSM and the robust residual thresholds are used by the fuzzy reasoning mechanism in order to evaluate a degree of detectability for each set of components. Finally, in order to make robust decision according to the detected fault component, an analysis is done between the output variables of the fuzzy system and components having the same signature in the FSM. The performance of the proposed fault diagnosis methodology is demonstrated through experimental data of an omnidirectional robot.

Published
2012

38. Detectability and Isolability Conditions in Presence of Measurement and Parameter Uncertainties Using Bond Graph

Author

Touati, Youcef, Merzouki, Rochdi, Ould Bouamama, Belkacem, Loureiro, Rui, LAGIS-MOCIS, Laboratoire d'Automatique, Génie Informatique et Signal (LAGIS), and Université de Lille, Sciences et Technologies-Centrale Lille-Centre National de la Recherche Scientifique (CNRS)-Université de Lille, Sciences et Technologies-Centrale Lille-Centre National de la Recherche Scientifique (CNRS)

Subjects
ComputingMilieux_MISCELLANEOUS, [SPI.AUTO]Engineering Sciences [physics]/Automatic
Abstract

International audience

Published
2012

39. Reduced Order Switching Observer for a switching linear system

Author

Hajji, Naima, Rahmani, Ahmed, LAGIS-MOCIS, Laboratoire d'Automatique, Génie Informatique et Signal (LAGIS), and Université de Lille, Sciences et Technologies-Centrale Lille-Centre National de la Recherche Scientifique (CNRS)-Université de Lille, Sciences et Technologies-Centrale Lille-Centre National de la Recherche Scientifique (CNRS)

Subjects
ComputingMilieux_MISCELLANEOUS, [SPI.AUTO]Engineering Sciences [physics]/Automatic
Abstract

International audience

Published
2012

40. Bond graph modeling of a Mecanum wheeled robot

Author

Qiang, Y., Rahmani, Ahmed, Zhan, Q, LAGIS-MOCIS, Laboratoire d'Automatique, Génie Informatique et Signal (LAGIS), Université de Lille, Sciences et Technologies-Centrale Lille-Centre National de la Recherche Scientifique (CNRS)-Université de Lille, Sciences et Technologies-Centrale Lille-Centre National de la Recherche Scientifique (CNRS), Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 (CRIStAL), and Centrale Lille-Université de Lille-Centre National de la Recherche Scientifique (CNRS)

Subjects
[INFO.INFO-AU]Computer Science [cs]/Automatic Control Engineering, ComputingMilieux_MISCELLANEOUS, [SPI.AUTO]Engineering Sciences [physics]/Automatic
Abstract

International audience

Published
2012

41. Wavelet Decomposition Applied to Fluid Leak Detection and Isolation in Presence of Disturbances

Author

Mohand Djeziri, Samir Benmoussa, B. Ould Bouamama, Mustapha Ouladsine, LAGIS-MOCIS, Laboratoire d'Automatique, Génie Informatique et Signal (LAGIS), Université de Lille, Sciences et Technologies-Centrale Lille-Centre National de la Recherche Scientifique (CNRS)-Université de Lille, Sciences et Technologies-Centrale Lille-Centre National de la Recherche Scientifique (CNRS), Laboratoire des Sciences de l'Information et des Systèmes (LSIS), Aix Marseille Université (AMU)-Université de Toulon (UTLN)-Arts et Métiers Paristech ENSAM Aix-en-Provence-Centre National de la Recherche Scientifique (CNRS), Ouldbouamama, Belkacem, and Centre National de la Recherche Scientifique (CNRS)-Arts et Métiers Paristech ENSAM Aix-en-Provence-Université de Toulon (UTLN)-Aix Marseille Université (AMU)

Subjects
Discrete wavelet transform, 0209 industrial biotechnology, Engineering, Cross-correlation, business.industry, Fast Fourier transform, 02 engineering and technology, Function (mathematics), Wavelet packet decomposition, [SPI.AUTO]Engineering Sciences [physics]/Automatic, 020901 industrial engineering & automation, [SPI.AUTO] Engineering Sciences [physics]/Automatic, 020401 chemical engineering, Control theory, Robustness (computer science), Electronic engineering, Transient (oscillation), 0204 chemical engineering, Hydraulic machinery, business, ComputingMilieux_MISCELLANEOUS
Abstract

This paper deals with wavelet decomposition applied to fluid leak detection and isolation in process engineering. The developed algorithm is sensitive to minor leaks and robust to all the disturbances (hydraulic and thermal perturbations) and transient operating modes. The proposed approach is based on the Discrete Wavelet Transform (DWT) of the sensor measurements, the Fast Fourier Transform (FFT) and the properties of the cross-correlation function. Experimental results obtained on different processes show the efficiency of the proposed approach.

Published
2012

42. Methodology to Engineer and Validate Dynamic Multi-level Multi-agent Based Simulations

Author

Soyez, Jean Baptiste, Morvan, Gildas, Dupont, Daniel, Merzouki, Rochdi, LAGIS-MOCIS, Laboratoire d'Automatique, Génie Informatique et Signal (LAGIS), Université de Lille, Sciences et Technologies-Centrale Lille-Centre National de la Recherche Scientifique (CNRS)-Université de Lille, Sciences et Technologies-Centrale Lille-Centre National de la Recherche Scientifique (CNRS), Laboratoire de Génie Informatique et d'Automatique de l'Artois (LGI2A), Université d'Artois (UA), and Ouldbouamama, Belkacem

Subjects
[SPI.AUTO] Engineering Sciences [physics]/Automatic, ComputingMilieux_MISCELLANEOUS, [SPI.AUTO]Engineering Sciences [physics]/Automatic
Abstract

International audience

Published
2012

43. Design and validation of a reconfiguration strategy for a redundantly actuated intelligent autonomous vehicle

Author

Bera, T.K, Merzouki, Rochdi, Ould Bouamama, Belkacem, Samantaray, A. K., LAGIS-MOCIS, Laboratoire d'Automatique, Génie Informatique et Signal (LAGIS), and Université de Lille, Sciences et Technologies-Centrale Lille-Centre National de la Recherche Scientifique (CNRS)-Université de Lille, Sciences et Technologies-Centrale Lille-Centre National de la Recherche Scientifique (CNRS)

Subjects
ComputingMilieux_MISCELLANEOUS, [SPI.AUTO]Engineering Sciences [physics]/Automatic
Abstract

International audience

Published
2012

44. Numerical Control for Hydrodynamic Traffic Flow Models

Author

Dimon, Catalin, Dauphin-Tanguy, Geneviève, Popescu, D., Tache, I.A., LAGIS-MOCIS, Laboratoire d'Automatique, Génie Informatique et Signal (LAGIS), and Université de Lille, Sciences et Technologies-Centrale Lille-Centre National de la Recherche Scientifique (CNRS)-Université de Lille, Sciences et Technologies-Centrale Lille-Centre National de la Recherche Scientifique (CNRS)

Subjects
ComputingMilieux_MISCELLANEOUS, [SPI.AUTO]Engineering Sciences [physics]/Automatic
Abstract

International audience

Published
2012

45. A multimodel approach for complex systems modeling based on classification algorithms with application examples

Author

Elfelly, N., Dieulot, J. -Y, Benrejeb, M., Borne, P., LAGIS-MOCIS, Laboratoire d'Automatique, Génie Informatique et Signal (LAGIS), Université de Lille, Sciences et Technologies-Centrale Lille-Centre National de la Recherche Scientifique (CNRS)-Université de Lille, Sciences et Technologies-Centrale Lille-Centre National de la Recherche Scientifique (CNRS), and LAGIS-OSL

Subjects
ComputingMilieux_MISCELLANEOUS, [SPI.AUTO]Engineering Sciences [physics]/Automatic
Abstract

International audience

Published
2012

46. Multimodel control design using unsupervised classifiers

Author

Mohamed Benrejeb, Jean-Yves Dieulot, Nesrine Elfelly, Pierre Borne, LAGIS-MOCIS, Laboratoire d'Automatique, Génie Informatique et Signal (LAGIS), Université de Lille, Sciences et Technologies-Centrale Lille-Centre National de la Recherche Scientifique (CNRS)-Université de Lille, Sciences et Technologies-Centrale Lille-Centre National de la Recherche Scientifique (CNRS), and LAGIS-OSL

Subjects
0209 industrial biotechnology, General Computer Science, business.industry, Computer science, 02 engineering and technology, Machine learning, computer.software_genre, [SPI.AUTO]Engineering Sciences [physics]/Automatic, 020901 industrial engineering & automation, 0202 electrical engineering, electronic engineering, information engineering, 020201 artificial intelligence & image processing, Artificial intelligence, Electrical and Electronic Engineering, Control (linguistics), business, computer, ComputingMilieux_MISCELLANEOUS
Abstract

International audience

Published
2012

47. Communication aspect in ICT for Freight Transport System

Author

Kumar, Pushpendra, Ould Bouamama, Belkacem, Haffaf, Hafid, LAGIS-MOCIS, Laboratoire d'Automatique, Génie Informatique et Signal (LAGIS), Université de Lille, Sciences et Technologies-Centrale Lille-Centre National de la Recherche Scientifique (CNRS)-Université de Lille, Sciences et Technologies-Centrale Lille-Centre National de la Recherche Scientifique (CNRS), Département d'Informatique [Oran], Université des sciences et de la Technologie d'Oran Mohamed Boudiaf [Oran] (USTO MB), Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 (CRIStAL), and Centrale Lille-Université de Lille-Centre National de la Recherche Scientifique (CNRS)

Subjects
ComputingMilieux_MISCELLANEOUS, [SPI.MECA.GEME]Engineering Sciences [physics]/Mechanics [physics.med-ph]/Mechanical engineering [physics.class-ph], [SPI.AUTO]Engineering Sciences [physics]/Automatic
Abstract

International audience

Published
2012

48. Bayesain reliability models of Weibull systems: State of the art

Author

Zaidi, A., Ould Bouamama, Belkacem, Tagina, M., LAGIS-MOCIS, Laboratoire d'Automatique, Génie Informatique et Signal (LAGIS), and Université de Lille, Sciences et Technologies-Centrale Lille-Centre National de la Recherche Scientifique (CNRS)-Université de Lille, Sciences et Technologies-Centrale Lille-Centre National de la Recherche Scientifique (CNRS)

Subjects
ComputingMilieux_MISCELLANEOUS, [SPI.AUTO]Engineering Sciences [physics]/Automatic
Abstract

International audience

Published
2012

49. Bond graph switching observer for switching Linear Systems', Mathmod, Proceedings of MATHMOD

Author

Hajji, Naima, Rahmani, Ahmed, LAGIS-MOCIS, Laboratoire d'Automatique, Génie Informatique et Signal (LAGIS), and Université de Lille, Sciences et Technologies-Centrale Lille-Centre National de la Recherche Scientifique (CNRS)-Université de Lille, Sciences et Technologies-Centrale Lille-Centre National de la Recherche Scientifique (CNRS)

Subjects
[INFO.INFO-AU]Computer Science [cs]/Automatic Control Engineering, ComputingMilieux_MISCELLANEOUS
Abstract

International audience

Published
2012

50. Mechatronic and Innovative Applications

Author

Merzouki, Rochdi, LAGIS-MOCIS, Laboratoire d'Automatique, Génie Informatique et Signal (LAGIS), and Université de Lille, Sciences et Technologies-Centrale Lille-Centre National de la Recherche Scientifique (CNRS)-Université de Lille, Sciences et Technologies-Centrale Lille-Centre National de la Recherche Scientifique (CNRS)

Subjects
ComputingMilieux_MISCELLANEOUS, [SPI.AUTO]Engineering Sciences [physics]/Automatic
Abstract

International audience

Published
2012

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