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Your search keyword '"Canudas de Wit, Carlos"' showing total 8 results
Start Over Author "Canudas de Wit, Carlos" Topic [info.info-sy]computer science [cs]/systems and control [cs.sy]
8 results on '"Canudas de Wit, Carlos"'

1. A Route-based Method for Turning Ratio Estimation: Application to the Grenoble Downtown Traffic Flow and Density Reconstruction

Author

Rodriguez-Vega, Martin, Canudas de Wit, Carlos, Fourati, Hassen, Dynamics and Control of Networks (DANCE), Inria Grenoble - Rhône-Alpes, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-GIPSA Pôle Automatique et Diagnostic (GIPSA-PAD), Grenoble Images Parole Signal Automatique (GIPSA-lab), Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes (UGA)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP ), Université Grenoble Alpes (UGA)-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes (UGA)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP ), Université Grenoble Alpes (UGA)-Grenoble Images Parole Signal Automatique (GIPSA-lab), Université Grenoble Alpes (UGA), and European Project: 694209,Advanced Grant (AdG), ERC-2015-AdG ,Scale-FreeBack(2016)

Subjects
[SPI.GCIV.IT]Engineering Sciences [physics]/Civil Engineering/Infrastructures de transport, [INFO.INFO-SY]Computer Science [cs]/Systems and Control [cs.SY], [MATH.MATH-OC]Mathematics [math]/Optimization and Control [math.OC]
Abstract

International audience; In this paper, we propose a route-based approach to improve the flow and density estimation methods for the case of urban traffic networks. For this proposal, a traffic assignment problem is solved at first, whose outputs are used to estimate the turning ratios for all intersections. Such information is not usually available at each node of the network. Second, the estimated turning ratios are used to better reconstruct the dynamic state of the network: the flow and density. To validate the proposed methods, we use real traffic data collected in the city of Grenoble in France, which include the measurement of Origin-Destination matrices, some turning ratios for validation, mean speeds of road sections and traffic flows at the boundaries of the network.

Published
2022
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2. GTL-Healthmob: Simulation platform for urban mobility and epidemic control

Author

Pratap, Ujjwal, Senique, Leo, Canudas de Wit, Carlos, Dynamics and Control of Networks (DANCE), Inria Grenoble - Rhône-Alpes, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-GIPSA Pôle Automatique et Diagnostic (GIPSA-PAD), Grenoble Images Parole Signal Automatique (GIPSA-lab), Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes (UGA)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP ), Université Grenoble Alpes (UGA)-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes (UGA)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP ), Université Grenoble Alpes (UGA)-Grenoble Images Parole Signal Automatique (GIPSA-lab), Université Grenoble Alpes (UGA), and European Project: 694209,Advanced Grant (AdG), ERC-2015-AdG ,Scale-FreeBack(2016)

Subjects
Urban human mobility, Epidemic-mobility, Grenoble metropolis, [INFO.INFO-SY]Computer Science [cs]/Systems and Control [cs.SY], Simulation platform, Optimal lockdown, [MATH]Mathematics [math], [INFO.INFO-MO]Computer Science [cs]/Modeling and Simulation
Abstract

National audience; The GTL-Healthmob is an online simulation platform which aims at visualizing the population movement, simulating epidemic propagation and optimizing the mobility restrictions to limit the epidemic spread in the Grenoble metropolis. The platform takes user inputs for different epidemic and mobility control parameters and shows the results in terms of plots and heatmaps overlaid onto the map of the metropolis. The platform is being developed in the context of the ERC project Scale-FreeBack and the INRIA project Healthy-Mobility, to showcase the mobility and epidemic models, developed within the team by adapting and implementing them to the Grenoble metropolis, which can also enable policymakers to devise optimal mobility restriction policies.

Published
2022

3. Where, when and how people move in large-scale urban networks: the Grenoble saga

Author

Pratap, Ujjwal, Canudas de Wit, Carlos, Garin, Federica, Dynamics and Control of Networks (DANCE), Inria Grenoble - Rhône-Alpes, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-GIPSA Pôle Automatique et Diagnostic (GIPSA-PAD), Grenoble Images Parole Signal Automatique (GIPSA-lab), Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes (UGA)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP ), Université Grenoble Alpes (UGA)-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes (UGA)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP ), Université Grenoble Alpes (UGA)-Grenoble Images Parole Signal Automatique (GIPSA-lab), Université Grenoble Alpes (UGA), and European Project: 694209,Advanced Grant (AdG), ERC-2015-AdG ,Scale-FreeBack(2016)

Subjects
Human mobility, [INFO.INFO-AU]Computer Science [cs]/Automatic Control Engineering, origin-destination matrices, [INFO.INFO-SY]Computer Science [cs]/Systems and Control [cs.SY], [MATH]Mathematics [math], epidemic mobility, large-scale networks
Abstract

This work studies the mobility of people in the metropolitan city Grenoble in France, building a supply-demand based mobility model which captures the daily movement of people between residences and places of interests called destinations, using time schedules and gating profiles which also accommodate the possibility of imposing restrictions on mobility. The goal of this paper is to build the mobility network in Grenoble answering the three main questions (WWH): Where does mobility happen? When does it happen? How many people move? We provide methods to compute the time gating functions and different parameters for this network. Further, we identify and address the issues encountered during discretization of the continuous-time mobility model. As an application, we also study how different restrictions on the mobility effects the epidemic spread in Grenoble. Finally, we describe the online GTL-covid demonstrator which is being developed by implementing the results of this paper. It is an academic platform which can be used to simulate different scenarios of mobility and visualise its effect on epidemic spread in Grenoble area.

Published
2022

4. Boundary Control for Stabilization of Large-Scale Networks through the Continuation Method

Author

Nikitin, Denis, Canudas de Wit, Carlos, Frasca, Paolo, Dynamics and Control of Networks (DANCE), Inria Grenoble - Rhône-Alpes, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-GIPSA Pôle Automatique et Diagnostic (GIPSA-PAD), Grenoble Images Parole Signal Automatique (GIPSA-lab), Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes (UGA)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP ), Université Grenoble Alpes (UGA)-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes (UGA)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP ), Université Grenoble Alpes (UGA)-Grenoble Images Parole Signal Automatique (GIPSA-lab), Université Grenoble Alpes (UGA), and European Project: 694209,Advanced Grant (AdG), ERC-2015-AdG ,Scale-FreeBack(2016)

Subjects
[INFO.INFO-SY]Computer Science [cs]/Systems and Control [cs.SY], [MATH.MATH-OC]Mathematics [math]/Optimization and Control [math.OC]
Abstract

International audience; In this work we study a continuation method which transforms spatially distributed ODE systems into PDEs that respect the spatial structure of the original ODE systems. Such PDE description can be used not only for analysis but also for a continuous control design which, being discretized back, results in a nontrivial control law for the original ODE system. In this paper we focus on the continuation for linear systems, including multidimensional inhomogeneous systems and in particular linear networks, showing that such systems can be transformed into general second-order parabolic PDEs. The method is applied to the stabilization of a chain of coupled semiconductor lasers. We obtain a PDE model of this system, design a backstepping-based boundary control to stabilize the obtained PDE and then translate the control policy back to the original laser chain, effectively stabilizing it.

Published
2021

5. Synchronization of Spin-Torque Oscillators via Continuation Method

Author

Nikitin, Denis, Canudas de Wit, Carlos, Frasca, Paolo, Ebels, Ursula, Dynamics and Control of Networks (DANCE), Inria Grenoble - Rhône-Alpes, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-GIPSA Pôle Automatique et Diagnostic (GIPSA-PAD), Grenoble Images Parole Signal Automatique (GIPSA-lab), Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes (UGA)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP ), Université Grenoble Alpes (UGA)-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes (UGA)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP ), Université Grenoble Alpes (UGA)-Grenoble Images Parole Signal Automatique (GIPSA-lab), Université Grenoble Alpes (UGA), SPINtronique et TEchnologie des Composants (SPINTEC), Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche Interdisciplinaire de Grenoble (IRIG), Direction de Recherche Fondamentale (CEA) (DRF (CEA)), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Direction de Recherche Fondamentale (CEA) (DRF (CEA)), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Grenoble Alpes (UGA), and European Project: 694209,Advanced Grant (AdG), ERC-2015-AdG ,Scale-FreeBack(2016)

Subjects
Spin-Torque Oscillators, Non-Isochronous Oscillators, [INFO.INFO-SY]Computer Science [cs]/Systems and Control [cs.SY], [MATH.MATH-AP]Mathematics [math]/Analysis of PDEs [math.AP], [MATH.MATH-OC]Mathematics [math]/Optimization and Control [math.OC], [PHYS.COND]Physics [physics]/Condensed Matter [cond-mat], Kuramoto oscillators, Synchronization of Large-Scale Networks
Abstract

In this paper we study synchronization phenomena for spin-torque oscillators coupled on a ring. Spin-torque oscillators are nanoelectronic devices which promise efficient microwave generation provided they are synchronized in large arrays. Due to their nonlinear and non-isochronous nature, their synchronization is difficult to analyse explicitly. We employ a recently developed continuation method that transforms the network of coupled oscillators (each described by an ordinary differential equation) into a single nonlinear partial differential equation (PDE). We then analyse the synchronization of this PDE in two cases: when all the oscillators are identical and when there are two different types of oscillators. In the case of identical oscillators we reconstruct all possible synchronous solutions in the system and provide explicit conditions for stability. For non-identical oscillators we derive and solve a differential synchronization condition which allows us to reconstruct the shape of the equilibrium profiles. All the presented results, which are derived for the PDE, are validated by numerical simulations of the original network of ODEs.

Published
2021

6. Testing Policies for Epidemic Control

Author

Niazi, Muhammad Umar, Canudas de Wit, Carlos, Kibangou, Alain, Nikitin, Denis, Tumash, Liudmila, Bliman, Pierre-Alexandre, Dynamics and Control of Networks (DANCE), Inria Grenoble - Rhône-Alpes, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-GIPSA Pôle Automatique et Diagnostic (GIPSA-PAD), Grenoble Images Parole Signal Automatique (GIPSA-lab), Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes (UGA)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP ), Université Grenoble Alpes (UGA)-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes (UGA)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP ), Université Grenoble Alpes (UGA)-Grenoble Images Parole Signal Automatique (GIPSA-lab), Université Grenoble Alpes (UGA), Modelling and Analysis for Medical and Biological Applications (MAMBA), Inria de Paris, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Laboratoire Jacques-Louis Lions (LJLL (UMR_7598)), Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Université de Paris (UP)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Université de Paris (UP), This work is partially supported by European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme (ERCAdG no. 694209, Scale-FreeBack, website: http://scale-freeback.eu/) and by Inria, France, in the framework of the Inria Mission Covid-19 (Project HealthyMobility)., and European Project: 694209,Advanced Grant (AdG), ERC-2015-AdG ,Scale-FreeBack(2016)

Subjects
[INFO.INFO-MA]Computer Science [cs]/Multiagent Systems [cs.MA], [INFO.INFO-AU]Computer Science [cs]/Automatic Control Engineering, [MATH.MATH-DS]Mathematics [math]/Dynamical Systems [math.DS], [INFO.INFO-SY]Computer Science [cs]/Systems and Control [cs.SY], [MATH.MATH-OC]Mathematics [math]/Optimization and Control [math.OC], [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing, [SPI.AUTO]Engineering Sciences [physics]/Automatic
Abstract

Testing is a crucial control mechanism for epidemics because it enables the health authority to detect and isolate the infected cases, thereby limiting the disease transmission to susceptible people. In this paper, an epidemic model that incorporates the testing rate as a control input is presented. The proposed model distinguishes the undetected infected from the detected infected cases, who are assumed to be isolated from the disease spreading process in the population. Two testing policies are devised: (i) best-effort strategy for testing (BEST) and (ii) constant optimal strategy for testing (COST). The BEST is a suppression policy that provides a lower bound on the testing rate to stop the growth of the epidemic. The COST is a mitigation policy that minimizes the peak of the epidemic by providing a constant, optimal allocation of tests in a certain time interval when the total stockpile of tests is limited. Both testing policies are evaluated by their impact on the number of active intensive care unit (ICU) cases and the cumulative number of deaths due to COVID-19 in France.

Published
2021

7. Scale-free boundary control of multiple aggregates in large-scale networks

Author

Nikitin, Denis, Canudas de Wit, Carlos, Frasca, Paolo, Dynamics and Control of Networks (DANCE), Inria Grenoble - Rhône-Alpes, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-GIPSA Pôle Automatique et Diagnostic (GIPSA-PAD), Grenoble Images Parole Signal Automatique (GIPSA-lab), Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes (UGA)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP ), Université Grenoble Alpes (UGA)-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes (UGA)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP ), Université Grenoble Alpes (UGA)-Grenoble Images Parole Signal Automatique (GIPSA-lab), Université Grenoble Alpes (UGA), This work was supported by the funding from the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme (grant agreement 694209)., and European Project: 694209,Advanced Grant (AdG), ERC-2015-AdG ,Scale-FreeBack(2016)

Subjects
Passivity, [INFO.INFO-SY]Computer Science [cs]/Systems and Control [cs.SY], Control of Networks, [MATH.MATH-OC]Mathematics [math]/Optimization and Control [math.OC], Large Scale Systems
Abstract

International audience; This paper deals with the problem of controlling aggregated linear outputs of a large-scale network to a constant reference value. A multi-output feedback controller is designed such that no information about state vector or system matrices is needed. To provide the conditions for the controller to be stable irrespectively of the gains, the passivity formalism is used and the system is shown to be Strictly Positive Real (SPR). This controller can be used to regulate average states of regions of a largescale network with control applied to nodes that lie at the boundaries of the regions.

Published
2021

8. Modeling and Control of COVID-19 Epidemic through Testing Policies

Author

Niazi, Muhammad Umar, Kibangou, Alain, Canudas de Wit, Carlos, Nikitin, Denis, Tumash, Liudmila, Bliman, Pierre-Alexandre, Systèmes Commandés en Réseau (NECS-POST), Inria Grenoble - Rhône-Alpes, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-GIPSA Pôle Automatique et Diagnostic (GIPSA-PAD), Grenoble Images Parole Signal Automatique (GIPSA-lab), Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes (UGA)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP ), Université Grenoble Alpes (UGA)-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes (UGA)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP ), Université Grenoble Alpes (UGA)-Grenoble Images Parole Signal Automatique (GIPSA-lab), Université Grenoble Alpes (UGA), Modelling and Analysis for Medical and Biological Applications (MAMBA), Inria de Paris, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Laboratoire Jacques-Louis Lions (LJLL (UMR_7598)), Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Université de Paris (UP)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Université de Paris (UP), This work is partially supported by European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme (ERCAdG no. 694209,Scale-FreeBack, website:http://scale-freeback.eu/) and by Inria, France, in the framework of the COVID-19 fast-track research program., and European Project: 694209,Advanced Grant (AdG), ERC-2015-AdG ,Scale-FreeBack(2016)

Subjects
Model design, [INFO.INFO-MA]Computer Science [cs]/Multiagent Systems [cs.MA], Model validation, Control policies, [INFO.INFO-AU]Computer Science [cs]/Automatic Control Engineering, Testing, [MATH.MATH-DS]Mathematics [math]/Dynamical Systems [math.DS], Parameter estimation, [INFO.INFO-SY]Computer Science [cs]/Systems and Control [cs.SY], COVID-19, [MATH.MATH-OC]Mathematics [math]/Optimization and Control [math.OC], [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing, [SPI.AUTO]Engineering Sciences [physics]/Automatic
Abstract

Testing for the infected cases is one of the most important mechanisms to control an epidemic. It enables to isolate the detected infected individuals, thereby limiting the disease transmission to the susceptible population. However, despite the significance of testing policies, the recent literature on the subject lacks a control-theoretic perspective. In this work, an epidemic model that incorporates the testing rate as a control input is presented. The proposed model differentiates the undetected infected from the detected infected cases, who are assumed to be removed from the disease spreading process in the population. First, the model is estimated and validated for COVID-19 data in France. Then, two testing policies are proposed, the so-called best-effort strategy for testing (BEST) and constant optimal strategy for testing (COST). The BEST policy is a suppression strategy that provides a lower bound on the testing rate such that the epidemic switches from a spreading to a non-spreading state. The COST policy is a mitigation strategy that provides an optimal value of testing rate that minimizes the peak value of the infected population when the total stockpile of tests is limited. Both testing policies are evaluated by predicting the number of active intensive care unit (ICU) cases and the cumulative number of deaths due to COVID-19.

Published
2020

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