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3,301 results on '"Chen, Tan"'

2. HMDFF: A Heterogeneous Medical Data Fusion Framework Supporting Multimodal Query

Author

Ren, Peng, Lin, Weihang, Liang, Ye, Wang, Ruoyu, Liu, Xingyue, Zuo, Baifu, Chen, Tan, Li, Xin, Sheng, Ming, Zhang, Yong, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Siuly, Siuly, editor, Wang, Hua, editor, Chen, Lu, editor, Guo, Yanhui, editor, and Xing, Chunxiao, editor

Published
2021
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7. Solving Large-Scale Multi-Objective Optimization via Probabilistic Prediction Model

Author

Haokai Hong, Min Jiang, Kay Chen Tan, and Kai Ye

Subjects
education.field_of_study, Mathematical optimization, Local optimum, Optimization problem, Computational complexity theory, Computer science, Population, Probabilistic logic, Benchmark (computing), Evolutionary algorithm, education, Multi-objective optimization
Abstract

The main feature of large-scale multi-objective optimization problems (LSMOP) is to optimize multiple conflicting objectives while considering thousands of decision variables at the same time. Since the purpose of effective LSMOP algorithm is escaping from local optimum in large search space, the current research is focused on decision variable analysis or grouping, which easily leads to excessive computational complexity due to the large-scale decision variables. In order to maintain the diversity of the population while avoiding the computational complexity caused by large-scale decision variables, we propose a Probabilistic Prediction Model based on trend prediction model (TPM) and Generating-Filtering strategy to tackle LSMOP. Since TPM has an individual-based evolution mechanism, the computational complexity of the proposed algorithm is independent of decision variables, which maintains low complexity of the evolutionary algorithm while ensuring that the algorithm can converge to the Pareto optimal Front(POF). We compared the proposed algorithm with several state-of-the-art algorithms for different benchmark functions. The experimental results and complexity analysis have demonstrated that the proposed algorithm has significant improvement in terms of its performance and computational efficiency in large-scale multi-objective optimization.

Published
2021

9. Evolutionary Community Detection Algorithms

Author

Hussein A. Abbass, Kay Chen Tan, and Jing Liu

Subjects
Computer science, business.industry, Evolutionary algorithm, Community structure, 02 engineering and technology, Complex network, Machine learning, computer.software_genre, Single objective, 020204 information systems, 0202 electrical engineering, electronic engineering, information engineering, 020201 artificial intelligence & image processing, Artificial intelligence, business, computer
Abstract

Community structure can be easily found in various kinds of networks. The study of community structure has become a popular topic in recent years. Many methods for detecting communities from networks have been proposed. In this chapter, we concentrate on detection methods based on EAs, both single objective and multi-objective EAs designed for detecting communities are introduced.

Published
2018

10. Evolutionary Computation

Author

Jing Liu, Hussein A. Abbass, and Kay Chen Tan

Subjects
020209 energy, 0202 electrical engineering, electronic engineering, information engineering, 020201 artificial intelligence & image processing, 02 engineering and technology
Published
2018

11. Problem Difficulty Analysis Based on Complex Networks

Author

Hussein A. Abbass, Kay Chen Tan, and Jing Liu

Subjects
Theoretical computer science, Computer science, Fitness landscape, Evolutionary algorithm, 0102 computer and information sciences, 02 engineering and technology, Complex network, 01 natural sciences, Field (computer science), Local optimum, Problem difficulty, 010201 computation theory & mathematics, 0202 electrical engineering, electronic engineering, information engineering, 020201 artificial intelligence & image processing, Configuration space, Heuristics
Abstract

Intrinsically, EAs are still randomized search heuristics, that is, a kind of black-box algorithms. Therefore, one of the major challenges in the field of EAs is to characterize which kinds of problems are easy for a given algorithm to solve and which are not, namely problem difficulty prediction. The major tool used in problem difficulty prediction is fitness landscapes. Since fitness landscapes are obviously related to networks or graphs, some analyses about problem difficulty from the viewpoint of networks have been conducted, which is introduced in this section. Moreover, a study on local optima network analyses of the configuration space of resource-constrained project scheduling problems is also given.

Published
2018

12. Network-Based Problem Difficulty Prediction Measures

Author

Hussein A. Abbass, Kay Chen Tan, and Jing Liu

Subjects
Network motif, Problem difficulty, Fitness landscape, Computer science, business.industry, Evolutionary algorithm, Artificial intelligence, Complex network, business, Machine learning, computer.software_genre, computer
Abstract

The most important purpose of problem difficulty analysis is to design measures that can easily evaluate the difficulty of different types of problems for EAs. In this chapter, existing predictive problem difficulty measures are introduced; first, nonnetwork-based measures are introduced briefly, and then the network-based measures are introduced in detail, with thorough experiments to illustrate their performance.

Published
2018

13. Complex Networks

Author

Jing Liu, Hussein A. Abbass, and Kay Chen Tan

Published
2018

14. Other Optimization Problems in Complex Networks

Author

Kay Chen Tan, Jing Liu, and Hussein A. Abbass

Subjects
Mathematical optimization, Optimization problem, Computer science, Robustness (computer science), Complex network
Abstract

In addition to the community detection problems and network robustness optimization problems introduced in the previous chapters, there are still many other optimization problems in the field of complex networks, such as network reconstruction and promoting the cooperation levels of evolutionary games on networks. In this chapter, we briefly introduce the above two optimization problems from the field of complex networks.

Published
2018

15. Evolving Robust Networks Using Evolutionary Algorithms

Author

Hussein A. Abbass, Kay Chen Tan, and Jing Liu

Subjects
0301 basic medicine, 03 medical and health sciences, 030104 developmental biology, Optimization algorithm, Robustness (computer science), Computer science, Distributed computing, 0103 physical sciences, Evolutionary algorithm, Memetic algorithm, 010306 general physics, 01 natural sciences
Abstract

One extremely important aspect of networks is their capability to withstand failures and fluctuations in functionality of their nodes and links, namely their robustness. In reality, failures may occur in many different ways and to a different degree, depending on the complexity of the system under examination. Thus, the robustness of networks is of great importance in guaranteeing the security of network systems. In this chapter, we first introduce existing work on network robustness analysis and widely used network robustness measures, and then introduce optimization algorithms designed to improve network robustness, where both single-objective and multi-objective EAs are introduced.

Published
2018

16. Genetic Programming for Job Shop Scheduling

Author

Su Nguyen, Mengjie Zhang, Kay Chen Tan, and Mark Johnston

Subjects
0209 industrial biotechnology, 020901 industrial engineering & automation, Future studies, Job shop scheduling, Operations research, Computer science, 0202 electrical engineering, electronic engineering, information engineering, Scheduling (production processes), 020201 artificial intelligence & image processing, Genetic programming, 02 engineering and technology, Heuristics, Manufacturing systems
Abstract

© 2019, Springer International Publishing AG, part of Springer Nature. Designing effective scheduling rules or heuristics for a manufacturing system such as job shops is not a trivial task. In the early stage, scheduling experts rely on their experiences to develop dispatching rules and further improve them through trials-and-errors, sometimes with the help of computer simulations. In recent years, automated design approaches have been applied to develop effective dispatching rules for job shop scheduling (JSS). Genetic programming (GP) is currently the most popular approach for this task. The goal of this chapter is to summarise existing studies in this field to provide an overall picture to interested researchers. Then, we demonstrate some recent ideas to enhance the effectiveness of GP for JSS and discuss interesting research topics for future studies.

Published
2018

17. Introduction

Author

Qiang Yu, Huajin Tang, Jun Hu, and Kay Chen Tan

Published
2017

21. Temporal Learning in Multilayer Spiking Neural Networks Through Construction of Causal Connections

Author

Kay Chen Tan, Qiang Yu, Huajin Tang, and Jun Hu

Subjects
Spiking neural network, Quantitative Biology::Neurons and Cognition, Computer science, business.industry, Spike train, Computer Science::Neural and Evolutionary Computation, Biological neuron model, 02 engineering and technology, 03 medical and health sciences, 0302 clinical medicine, 0202 electrical engineering, electronic engineering, information engineering, 020201 artificial intelligence & image processing, Artificial intelligence, Temporal learning, business, 030217 neurology & neurosurgery
Abstract

This chapter presents a new supervised temporal learning rule for multilayer spiking neural networks. We present and analyze the mechanisms utilized in the network for the construction of causal connections. Synaptic efficacies are finely tuned for resulting in a desired post-synaptic firing status. Both the PSD rule and the tempotron rule are extended to multiple layers, leading to new rules of multilayer PSD (MutPSD) and multilayer tempotron (MutTmptr). The algorithms are applied successfully to classic linearly non-separable benchmarks like the XOR and the Iris problems.

Published
2017

22. Spiking Neuron Based Cognitive Memory Model

Author

Qiang Yu, Jun Hu, Kay Chen Tan, and Huajin Tang

Subjects
Spiking neural network, Synaptic weight, medicine.anatomical_structure, Computer science, Encoding (memory), Bounded function, medicine, Biological neuron model, Memory model, Pattern completion, Pyramidal cell, Neuroscience
Abstract

Jensen et al. (Learn. Mem. 3(2–3), 245–246, 1996 [1]) proposed an auto-associative memory model using an integrated short-term memory (STM) and long-term memory (LTM) spiking neural network. Their model requires that distinct pyramidal cells encoding different STM patterns are fired in different high-frequency gamma subcycles within each low-frequency theta oscillation. Auto-associative LTM is formed by modifying the recurrent synaptic efficacy between pyramidal cells. In order to store auto-associative LTM correctly, the recurrent synaptic efficacy must be bounded. The synaptic efficacy must be upper bounded to prevent re-firing of pyramidal cells in subsequent gamma subcycles. If cells encoding one memory item were to re-fire synchronously with other cells encoding another item in subsequent gamma subcycle, LTM stored via modifiable recurrent synapses would be corrupted. The synaptic efficacy must also be lower bounded so that memory pattern completion can be performed correctly. This chapter uses the original model by Jensen et al. as the basis to illustrate the following points. Firstly, the importance of coordinated long-term memory (LTM) synaptic modification. Secondly, the use of a generic mathematical formulation (spiking response model) that can theoretically extend the results to other spiking network utilizing threshold-fire spiking neuron model. Thirdly, the interaction of long-term and short-term memory networks that possibly explains the asymmetric distribution of spike density in theta cycle through the merger of STM patterns with interaction of LTM network.

Published
2017

24. A Hierarchically Organized Memory Model with Temporal Population Coding

Author

Jun Hu, Huajin Tang, Kay Chen Tan, and Qiang Yu

Subjects
Synaptic weight, education.field_of_study, Theoretical computer science, Computer science, Population, Memory organisation, Cognition, Memory model, Content-addressable memory, education, Neural coding, Episodic memory
Abstract

Memory is a critical process in the brain to many cognitive behaviors. It is a complex process operating across different brain regions. However, the organizing principles of memory systems remain unclear. Emerging experiment results show that memories are represented by population of neurons and organized in a categorical and hierarchical manner. In this work, we describe a hierarchically organized memory (HOM) model using spiking neurons, in which temporal population codes are considered as the neural representation of information and spike-timing-based learning methods are employed to train the network. The results have demonstrated that memory coding units are formed into neural cliques, and information are stored in the form of associative memory within gamma cycles. Moreover, temporally separated patterns can be linked and compressed via enhanced connections among neural groups forming episodic memory. Our model provides a computational interpretation of memory organization at a system level.

Published
2017

25. Solving the IEEE CEC 2015 Dynamic Benchmark Problems Using Kalman Filter Based Dynamic Multiobjective Evolutionary Algorithm

Author

Prahlad Vadakkepat, Arrchana Muruganantham, and Kay Chen Tan

Subjects
Set (abstract data type), Task (computing), education.field_of_study, Mathematical optimization, Optimization problem, Computer science, Computer Science::Neural and Evolutionary Computation, Population, Benchmark (computing), Evolutionary algorithm, Kalman filter, State (computer science), education
Abstract

Evolutionary algorithms have been extensively used to solve static and dynamic single objective optimization problems, and static multiobjective optimization problems. However, there has only been tepid interest to solve multiobjective optimization problems in dynamic environments. It is only in the past few years that evolutionary algorithms have been used to solve dynamic multiobjective optimization problems and comprehensive benchmark suites have been proposed for testing the performance of algorithms. Prediction based algorithms may be able to provide information about the location of the changed optima and thereby assisting the evolutionary algorithm in the non-trivial task of tracking the changing Pareto Optimal Front or Set. Kalman filter is one of the widely used techniques in prediction scenarios for state estimation. A Dynamic Multi-objective Evolutionary algorithm was proposed in which the Kalman Filter was applied to the whole population to direct the search for Pareto Optimal Solutions in the decision space after a change in the problem has occurred. In this work, the Kalman Filter assisted Evolutionary Algorithm is tested on the IEEE CEC 2015 Benchmark problems set and the results are presented. It is observed that while the proposed algorithm performs well on some problems, more efficient strategies are required to supplement the algorithm in cases of high change severity, isolated and deceptive fronts.

Published
2015

26. A Novel Multi-objective Optimization Framework Combining NSGA-II and MOEA/D

Author

Kay Chen Tan, Xin Qiu, and Ye Huang

Subjects
Mathematical optimization, Computer science, Process (engineering), Genetic algorithm, Evolutionary algorithm, Scalar (physics), Sorting, Decomposition (computer science), Multi-objective optimization, Field (computer science)
Abstract

Multi-objective Evolutionary Algorithms (MOEAs) are efficient tools for solving multi-objective problems (MOPs). Current existing algorithms such as Multi-Objective Evolutionary Algorithms based on Decomposition (MOEA/D) and Non-dominated Genetic Algorithm II (NSGA-II) have achieved great success in the field by introducing important concept such as decomposition and non-dominated sorting. It would be interesting to employ these crucial ideas of the two algorithms in a hybrid manner. This paper proposes a new framework combining the key features from MOEA/D and NSGA-II. The new framework is a grouping approach aiming to further improve the performance of the current existing algorithms in terms of overall diversity maintenance. In the new framework, original MOP is decomposed into several scalar subproblems and every group is assigned with two scalar subproblems as their new objectives in the searching process. Non-dominated sorting is conducted within each group respectively at every generation. Experimental results demonstrate that the overall performance of the new framework is competitive when dealing with 2-objective problems.

Published
2015

27. A Spiking Neural Network Model for Associative Memory Using Temporal Codes

Author

Huajin Tang, Jun Hu, Sen Bong Gee, and Kay Chen Tan

Subjects
Spiking neural network, Recurrent neural network, Artificial neural network, Computer science, business.industry, Encoding (memory), Computational intelligence, Pattern recognition, Bidirectional associative memory, Artificial intelligence, Content-addressable memory, Association (psychology), business
Abstract

Associative memory is defined as the ability to map input patterns to output patterns. Understanding how human brain performs association between unrelated patterns and stores this knowledge is one of the most important goals in computational intelligence. Although this problem has been widely studied using conventional neural networks, increasing biological findings suggest that spiking neural network can be an alternative. The proposed model encodes different memories using different subsets of encoding neurons with temporal codes. A spike-timing based learning algorithm and spike-timing-dependent plasticity (STDP) are used to form associative memory. Simulation results show that hetero-associative memory and auto-associative memory are achievable by the synaptic modification of connections between input layer and hidden layers, and recurrent connections of hidden layers, respectively.

Published
2015

29. Application of Precise-Spike-Driven Rule in Spiking Neural Networks for Optical Character Recognition

Author

Kay Chen Tan, Qiang Yu, Sim Kuan Goh, and Huajin Tang

Subjects
Spiking neural network, Quantitative Biology::Neurons and Cognition, Computer science, business.industry, Process (computing), Pattern recognition, Neocognitron, Optical character recognition, computer.software_genre, Image (mathematics), Task (project management), Computer Science::Computer Vision and Pattern Recognition, Encoding (memory), Spike (software development), Artificial intelligence, business, computer
Abstract

Recently, the Precise-Spike-Driven (PSD) rule has been proposed to train neurons to associate spatiotemporal spike patterns. The PSD rule is not limited to association, but can also be used for recognition of spike patterns. This paper presents a new approach with the PSD rule for optical character recognition (OCR). A new encoding method is also proposed to convert the external images into spike patterns. This is an essential step for spiking neurons to process the image patterns. The simulation results show that our approach can perform the task well, and the applied PSD rule is also benchmarked with other learning rules on the given task.

Published
2015

30. An Opposition-based Self-adaptive Hybridized Differential Evolution Algorithm for Multi-objective Optimization (OSADE)

Author

Kay Chen Tan and Jin Kiat Chong

Subjects
Optimization problem, Hausdorff distance, business.industry, Computer science, Differential evolution, Test suite, Sorting, Benchmark (computing), Local search (optimization), business, Multi-objective optimization, Algorithm
Abstract

This paper presents a novel opposition-based self-adaptive hybridized Differential Evolution algorithm termed as OSADE for solving continuous multi-objective optimization problems. OSADE is developed using a modified version of a self-adaptive Differential Evolution variant and hybridizing it with the Multi-objective Evolutionary Gradient Search (MO-EGS) to act as a form of local search. Through the use of a test suite of benchmark problems, a comparative study of this newly developed algorithm and some state-of-the-art algorithms, such as NSGA-II, Non-dominated Sorting Differential Evolution (NSDE), MOEA/D-SBX, MOEA/D-DE and MO-EGS, is being presented by employing the Inverted Generational Distance (IGD) and the Hausdorff Distance (HD) performance indicators. From the simulation results, it is seen that OSADE is able to achieve competitive, if not better, performance when compared to the other algorithms in this study.

Published
2015

31. Artifact Removal from EEG Using a Multi-objective Independent Component Analysis Model

Author

Hussein A. Abbass, Sim Kuan Goh, Kay Chen Tan, and Abdullah Al Mamun

Subjects
Artifact (error), medicine.diagnostic_test, business.industry, Computer science, medicine, Computer vision, Artificial intelligence, Electroencephalography, business, Independent component analysis
Abstract

Independent Component Analysis (ICA) has been widely used for separating artifacts from Electroencephalographic (EEG) signals. Still, a few challenging problems remain.

Published
2014

32. Selection Schemes in Surrogate-Assisted Genetic Programming for Job Shop Scheduling

Author

Mengjie Zhang, Kay Chen Tan, Su Nguyen, and Mark Johnston

Subjects
Mathematical optimization, Job shop scheduling, Operations research, Heuristic (computer science), Computer science, media_common.quotation_subject, Genetic programming, Quality (business), Flow shop scheduling, Manufacturing systems, Computational budget, Selection (genetic algorithm), media_common
Abstract

Designing effective dispatching rules is particularly important for dynamic job shop scheduling JSS problems. Recently, genetic programming GP and computer simulation have been combined to automatically design effective dispatching rules for different JSS problems. Although the literature has shown some success, expensive performance assessments or fitness evaluations still cause difficulty for design tasks, especially for very complicated and large-scale manufacturing systems. Therefore, it is important to effectively utilise the computational budget. The goal of this paper is to investigate the influence of surrogate models and the use of simulation replications on the performance of GP. The results show that the combination of the two techniques can enhance the quality of evolved dispatching rules. Analyses also show the advantages and disadvantages of different selection schemes in surrogate-assisted GP.

Published
2014

33. A Novel Hybrid Multi-objective Optimization Framework: Rotating the Objective Space

Author

Jian-Xin Xu, Ye Huang, Kay Chen Tan, and Xin Qiu

Subjects
Mathematical optimization, education.field_of_study, Genetic algorithm, Population, Evolutionary algorithm, Scalar (physics), Sorting, education, Multi-objective optimization, Selection (genetic algorithm), Field (computer science), Mathematics
Abstract

Multi-objective Evolutionary Algorithms MOEAs are popular approaches for solving multi-objective problems MOPs. One representative method is Non-dominated Sorting Genetic Algorithm II NSGA-II, which has achieved great success in the field by introducing non-dominated sorting into survival selection. However, as a common issue for dominance-based algorithms, the performance of NSGA-II will decline in solving problems with 3 or more objectives. This paper aims to circumvent this issue by incorporating the concept of decomposition into NSGA-II. A grouping-based hybrid multi-objective optimization framework is proposed for tackling 3-objective problems. Original MOP is decomposed into several scalar subproblems, and each group of population is assigned with two scalar subproblems as new objectives. In order to better cover the whole objective space, new objective spaces are formulated via rotating the original objective space. Simulation results show that the performance of the proposed algorithm is competitive when dealing with 3-objective problems.

Published
2014

34. Enhanced Performances of the DFIG Power Control Using the Exponential Reaching Law Based Sliding Mode Control

Author

Zouheyr, Dekali, Lotfi, Baghli, Abdelmadjid, Boumediene, Angrisani, Leopoldo, Series Editor, Arteaga, Marco, Series Editor, Chakraborty, Samarjit, Series Editor, Chen, Jiming, Series Editor, Chen, Shanben, Series Editor, Chen, Tan Kay, Series Editor, Dillmann, Rüdiger, Series Editor, Duan, Haibin, Series Editor, Ferrari, Gianluigi, Series Editor, Ferre, Manuel, Series Editor, Jabbari, Faryar, Series Editor, Jia, Limin, Series Editor, Kacprzyk, Janusz, Series Editor, Khamis, Alaa, Series Editor, Kroeger, Torsten, Series Editor, Li, Yong, Series Editor, Liang, Qilian, Series Editor, Martín, Ferran, Series Editor, Ming, Tan Cher, Series Editor, Minker, Wolfgang, Series Editor, Misra, Pradeep, Series Editor, Mukhopadhyay, Subhas, Series Editor, Ning, Cun-Zheng, Series Editor, Nishida, Toyoaki, Series Editor, Oneto, Luca, Series Editor, Panigrahi, Bijaya Ketan, Series Editor, Pascucci, Federica, Series Editor, Qin, Yong, Series Editor, Seng, Gan Woon, Series Editor, Speidel, Joachim, Series Editor, Veiga, Germano, Series Editor, Wu, Haitao, Series Editor, Zamboni, Walter, Series Editor, Tan, Kay Chen, Series Editor, Pierfederici, Serge, editor, and Martin, Jean-Philippe, editor

Published
2024
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35. Photovoltaics at the Electric Mobility’s Service: French Case Study

Author

Hajar, Khaled, Razi, Reza, Mehrasa, Majid, Labonne, Antoine, Hably, Ahmad, Bacha, Seddik, Angrisani, Leopoldo, Series Editor, Arteaga, Marco, Series Editor, Chakraborty, Samarjit, Series Editor, Chen, Jiming, Series Editor, Chen, Shanben, Series Editor, Chen, Tan Kay, Series Editor, Dillmann, Rüdiger, Series Editor, Duan, Haibin, Series Editor, Ferrari, Gianluigi, Series Editor, Ferre, Manuel, Series Editor, Jabbari, Faryar, Series Editor, Jia, Limin, Series Editor, Kacprzyk, Janusz, Series Editor, Khamis, Alaa, Series Editor, Kroeger, Torsten, Series Editor, Li, Yong, Series Editor, Liang, Qilian, Series Editor, Martín, Ferran, Series Editor, Ming, Tan Cher, Series Editor, Minker, Wolfgang, Series Editor, Misra, Pradeep, Series Editor, Mukhopadhyay, Subhas, Series Editor, Ning, Cun-Zheng, Series Editor, Nishida, Toyoaki, Series Editor, Oneto, Luca, Series Editor, Panigrahi, Bijaya Ketan, Series Editor, Pascucci, Federica, Series Editor, Qin, Yong, Series Editor, Seng, Gan Woon, Series Editor, Speidel, Joachim, Series Editor, Veiga, Germano, Series Editor, Wu, Haitao, Series Editor, Zamboni, Walter, Series Editor, Tan, Kay Chen, Series Editor, Pierfederici, Serge, editor, and Martin, Jean-Philippe, editor

Published
2024
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36. An Improved Control of High Efficiency Series Converter for Fuel Cell/Supercapacitor Hybrid System

Author

Siangsanoh, A., Kaewmanee, W., Gavagsaz-Ghoachani, R., Martin, J. P., Weber, M., Phattanasak, M., Pierfederici, S., Maranzana, G., Didierjean, S., Angrisani, Leopoldo, Series Editor, Arteaga, Marco, Series Editor, Chakraborty, Samarjit, Series Editor, Chen, Jiming, Series Editor, Chen, Shanben, Series Editor, Chen, Tan Kay, Series Editor, Dillmann, Rüdiger, Series Editor, Duan, Haibin, Series Editor, Ferrari, Gianluigi, Series Editor, Ferre, Manuel, Series Editor, Jabbari, Faryar, Series Editor, Jia, Limin, Series Editor, Kacprzyk, Janusz, Series Editor, Khamis, Alaa, Series Editor, Kroeger, Torsten, Series Editor, Li, Yong, Series Editor, Liang, Qilian, Series Editor, Martín, Ferran, Series Editor, Ming, Tan Cher, Series Editor, Minker, Wolfgang, Series Editor, Misra, Pradeep, Series Editor, Mukhopadhyay, Subhas, Series Editor, Ning, Cun-Zheng, Series Editor, Nishida, Toyoaki, Series Editor, Oneto, Luca, Series Editor, Panigrahi, Bijaya Ketan, Series Editor, Pascucci, Federica, Series Editor, Qin, Yong, Series Editor, Seng, Gan Woon, Series Editor, Speidel, Joachim, Series Editor, Veiga, Germano, Series Editor, Wu, Haitao, Series Editor, Zamboni, Walter, Series Editor, Tan, Kay Chen, Series Editor, Pierfederici, Serge, editor, and Martin, Jean-Philippe, editor

Published
2024
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37. A Q-Learning-Based Energy Management Strategy for a Three-Wheel Multi-Stack Fuel Cell Hybrid Electric Vehicle

Author

Ghaderi, Razieh, Kandidayeni, Mohsen, Boulon, Loϊc, Trovão, João P., Angrisani, Leopoldo, Series Editor, Arteaga, Marco, Series Editor, Chakraborty, Samarjit, Series Editor, Chen, Jiming, Series Editor, Chen, Shanben, Series Editor, Chen, Tan Kay, Series Editor, Dillmann, Rüdiger, Series Editor, Duan, Haibin, Series Editor, Ferrari, Gianluigi, Series Editor, Ferre, Manuel, Series Editor, Jabbari, Faryar, Series Editor, Jia, Limin, Series Editor, Kacprzyk, Janusz, Series Editor, Khamis, Alaa, Series Editor, Kroeger, Torsten, Series Editor, Li, Yong, Series Editor, Liang, Qilian, Series Editor, Martín, Ferran, Series Editor, Ming, Tan Cher, Series Editor, Minker, Wolfgang, Series Editor, Misra, Pradeep, Series Editor, Mukhopadhyay, Subhas, Series Editor, Ning, Cun-Zheng, Series Editor, Nishida, Toyoaki, Series Editor, Oneto, Luca, Series Editor, Panigrahi, Bijaya Ketan, Series Editor, Pascucci, Federica, Series Editor, Qin, Yong, Series Editor, Seng, Gan Woon, Series Editor, Speidel, Joachim, Series Editor, Veiga, Germano, Series Editor, Wu, Haitao, Series Editor, Zamboni, Walter, Series Editor, Tan, Kay Chen, Series Editor, Pierfederici, Serge, editor, and Martin, Jean-Philippe, editor

Published
2024
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38. Energy Management System by Deep Reinforcement Learning Approach in a Building Microgrid

Author

Dini, Mohsen, Ossart, Florence, Angrisani, Leopoldo, Series Editor, Arteaga, Marco, Series Editor, Chakraborty, Samarjit, Series Editor, Chen, Jiming, Series Editor, Chen, Shanben, Series Editor, Chen, Tan Kay, Series Editor, Dillmann, Rüdiger, Series Editor, Duan, Haibin, Series Editor, Ferrari, Gianluigi, Series Editor, Ferre, Manuel, Series Editor, Jabbari, Faryar, Series Editor, Jia, Limin, Series Editor, Kacprzyk, Janusz, Series Editor, Khamis, Alaa, Series Editor, Kroeger, Torsten, Series Editor, Li, Yong, Series Editor, Liang, Qilian, Series Editor, Martín, Ferran, Series Editor, Ming, Tan Cher, Series Editor, Minker, Wolfgang, Series Editor, Misra, Pradeep, Series Editor, Mukhopadhyay, Subhas, Series Editor, Ning, Cun-Zheng, Series Editor, Nishida, Toyoaki, Series Editor, Oneto, Luca, Series Editor, Panigrahi, Bijaya Ketan, Series Editor, Pascucci, Federica, Series Editor, Qin, Yong, Series Editor, Seng, Gan Woon, Series Editor, Speidel, Joachim, Series Editor, Veiga, Germano, Series Editor, Wu, Haitao, Series Editor, Zamboni, Walter, Series Editor, Tan, Kay Chen, Series Editor, Pierfederici, Serge, editor, and Martin, Jean-Philippe, editor

Published
2024
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39. Passivity Based Control of Two Distributed Generations in DC Microgrid

Author

Gavagsaz-Ghoachani, Roghayeh, Phattanasak, Matheepot, Martin, Jean-Philippe, Pierfederici, Serge, Angrisani, Leopoldo, Series Editor, Arteaga, Marco, Series Editor, Chakraborty, Samarjit, Series Editor, Chen, Jiming, Series Editor, Chen, Shanben, Series Editor, Chen, Tan Kay, Series Editor, Dillmann, Rüdiger, Series Editor, Duan, Haibin, Series Editor, Ferrari, Gianluigi, Series Editor, Ferre, Manuel, Series Editor, Jabbari, Faryar, Series Editor, Jia, Limin, Series Editor, Kacprzyk, Janusz, Series Editor, Khamis, Alaa, Series Editor, Kroeger, Torsten, Series Editor, Li, Yong, Series Editor, Liang, Qilian, Series Editor, Martín, Ferran, Series Editor, Ming, Tan Cher, Series Editor, Minker, Wolfgang, Series Editor, Misra, Pradeep, Series Editor, Mukhopadhyay, Subhas, Series Editor, Ning, Cun-Zheng, Series Editor, Nishida, Toyoaki, Series Editor, Oneto, Luca, Series Editor, Panigrahi, Bijaya Ketan, Series Editor, Pascucci, Federica, Series Editor, Qin, Yong, Series Editor, Seng, Gan Woon, Series Editor, Speidel, Joachim, Series Editor, Veiga, Germano, Series Editor, Wu, Haitao, Series Editor, Zamboni, Walter, Series Editor, Tan, Kay Chen, Series Editor, Pierfederici, Serge, editor, and Martin, Jean-Philippe, editor

Published
2024
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40. Load Consumption Characterization and Tariff Design Based on Data Mining Techniques

Author

Ramos, Sérgio, Morais, Hugo, Soares, João, Foroozandeh, Zahra, Vale, Zita, Angrisani, Leopoldo, Series Editor, Arteaga, Marco, Series Editor, Chakraborty, Samarjit, Series Editor, Chen, Jiming, Series Editor, Chen, Shanben, Series Editor, Chen, Tan Kay, Series Editor, Dillmann, Rüdiger, Series Editor, Duan, Haibin, Series Editor, Ferrari, Gianluigi, Series Editor, Ferre, Manuel, Series Editor, Jabbari, Faryar, Series Editor, Jia, Limin, Series Editor, Kacprzyk, Janusz, Series Editor, Khamis, Alaa, Series Editor, Kroeger, Torsten, Series Editor, Li, Yong, Series Editor, Liang, Qilian, Series Editor, Martín, Ferran, Series Editor, Ming, Tan Cher, Series Editor, Minker, Wolfgang, Series Editor, Misra, Pradeep, Series Editor, Mukhopadhyay, Subhas, Series Editor, Ning, Cun-Zheng, Series Editor, Nishida, Toyoaki, Series Editor, Oneto, Luca, Series Editor, Panigrahi, Bijaya Ketan, Series Editor, Pascucci, Federica, Series Editor, Qin, Yong, Series Editor, Seng, Gan Woon, Series Editor, Speidel, Joachim, Series Editor, Veiga, Germano, Series Editor, Wu, Haitao, Series Editor, Zamboni, Walter, Series Editor, Tan, Kay Chen, Series Editor, Pierfederici, Serge, editor, and Martin, Jean-Philippe, editor

Published
2024
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41. Model-Free Detection of Distributed Solar Generation in Distribution Grids Based on Minimal Exogenous Information

Author

Petrusev, Aleksandr, Rigo-Mariani, Rémy, Debusschere, Vincent, Reignier, Patrick, Hadjsaid, Nouredine, Angrisani, Leopoldo, Series Editor, Arteaga, Marco, Series Editor, Chakraborty, Samarjit, Series Editor, Chen, Jiming, Series Editor, Chen, Shanben, Series Editor, Chen, Tan Kay, Series Editor, Dillmann, Rüdiger, Series Editor, Duan, Haibin, Series Editor, Ferrari, Gianluigi, Series Editor, Ferre, Manuel, Series Editor, Jabbari, Faryar, Series Editor, Jia, Limin, Series Editor, Kacprzyk, Janusz, Series Editor, Khamis, Alaa, Series Editor, Kroeger, Torsten, Series Editor, Li, Yong, Series Editor, Liang, Qilian, Series Editor, Martín, Ferran, Series Editor, Ming, Tan Cher, Series Editor, Minker, Wolfgang, Series Editor, Misra, Pradeep, Series Editor, Mukhopadhyay, Subhas, Series Editor, Ning, Cun-Zheng, Series Editor, Nishida, Toyoaki, Series Editor, Oneto, Luca, Series Editor, Panigrahi, Bijaya Ketan, Series Editor, Pascucci, Federica, Series Editor, Qin, Yong, Series Editor, Seng, Gan Woon, Series Editor, Speidel, Joachim, Series Editor, Veiga, Germano, Series Editor, Wu, Haitao, Series Editor, Zamboni, Walter, Series Editor, Tan, Kay Chen, Series Editor, Pierfederici, Serge, editor, and Martin, Jean-Philippe, editor

Published
2024
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42. Experimental Development of Embedded Online Impedance Spectroscopy of Lithium-Ion Batteries – Proof of Concept and Validation

Author

Vaidya, Sudnya, Depernet, Daniel, Chrenko, Daniela, Laghrouche, Salah, Angrisani, Leopoldo, Series Editor, Arteaga, Marco, Series Editor, Chakraborty, Samarjit, Series Editor, Chen, Jiming, Series Editor, Chen, Shanben, Series Editor, Chen, Tan Kay, Series Editor, Dillmann, Rüdiger, Series Editor, Duan, Haibin, Series Editor, Ferrari, Gianluigi, Series Editor, Ferre, Manuel, Series Editor, Jabbari, Faryar, Series Editor, Jia, Limin, Series Editor, Kacprzyk, Janusz, Series Editor, Khamis, Alaa, Series Editor, Kroeger, Torsten, Series Editor, Li, Yong, Series Editor, Liang, Qilian, Series Editor, Martín, Ferran, Series Editor, Ming, Tan Cher, Series Editor, Minker, Wolfgang, Series Editor, Misra, Pradeep, Series Editor, Mukhopadhyay, Subhas, Series Editor, Ning, Cun-Zheng, Series Editor, Nishida, Toyoaki, Series Editor, Oneto, Luca, Series Editor, Panigrahi, Bijaya Ketan, Series Editor, Pascucci, Federica, Series Editor, Qin, Yong, Series Editor, Seng, Gan Woon, Series Editor, Speidel, Joachim, Series Editor, Veiga, Germano, Series Editor, Wu, Haitao, Series Editor, Zamboni, Walter, Series Editor, Tan, Kay Chen, Series Editor, Pierfederici, Serge, editor, and Martin, Jean-Philippe, editor

Published
2024
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43. Consensus-Based Distributed Primary Control for Accurate Power Sharing in Islanded Mesh Microgrids

Author

Hennane, Youssef, Berdai, Abdelmajid, Martin, Jean-Philippe, Pierfederici, Serge, Meibody-Tabar, Farid, Angrisani, Leopoldo, Series Editor, Arteaga, Marco, Series Editor, Chakraborty, Samarjit, Series Editor, Chen, Jiming, Series Editor, Chen, Shanben, Series Editor, Chen, Tan Kay, Series Editor, Dillmann, Rüdiger, Series Editor, Duan, Haibin, Series Editor, Ferrari, Gianluigi, Series Editor, Ferre, Manuel, Series Editor, Jabbari, Faryar, Series Editor, Jia, Limin, Series Editor, Kacprzyk, Janusz, Series Editor, Khamis, Alaa, Series Editor, Kroeger, Torsten, Series Editor, Li, Yong, Series Editor, Liang, Qilian, Series Editor, Martín, Ferran, Series Editor, Ming, Tan Cher, Series Editor, Minker, Wolfgang, Series Editor, Misra, Pradeep, Series Editor, Mukhopadhyay, Subhas, Series Editor, Ning, Cun-Zheng, Series Editor, Nishida, Toyoaki, Series Editor, Oneto, Luca, Series Editor, Panigrahi, Bijaya Ketan, Series Editor, Pascucci, Federica, Series Editor, Qin, Yong, Series Editor, Seng, Gan Woon, Series Editor, Speidel, Joachim, Series Editor, Veiga, Germano, Series Editor, Wu, Haitao, Series Editor, Zamboni, Walter, Series Editor, Tan, Kay Chen, Series Editor, Pierfederici, Serge, editor, and Martin, Jean-Philippe, editor

Published
2024
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44. An Improved Maximum Power Point Tracking for Photovoltaic Distributed Energy System Associated with a Shunt Active Power Filter

Author

Rouphael, Rosalie, Ghamrawi, Ahmad, Maamri, Nezha, Gaubert, Jean-Paul, Angrisani, Leopoldo, Series Editor, Arteaga, Marco, Series Editor, Chakraborty, Samarjit, Series Editor, Chen, Jiming, Series Editor, Chen, Shanben, Series Editor, Chen, Tan Kay, Series Editor, Dillmann, Rüdiger, Series Editor, Duan, Haibin, Series Editor, Ferrari, Gianluigi, Series Editor, Ferre, Manuel, Series Editor, Jabbari, Faryar, Series Editor, Jia, Limin, Series Editor, Kacprzyk, Janusz, Series Editor, Khamis, Alaa, Series Editor, Kroeger, Torsten, Series Editor, Li, Yong, Series Editor, Liang, Qilian, Series Editor, Martín, Ferran, Series Editor, Ming, Tan Cher, Series Editor, Minker, Wolfgang, Series Editor, Misra, Pradeep, Series Editor, Mukhopadhyay, Subhas, Series Editor, Ning, Cun-Zheng, Series Editor, Nishida, Toyoaki, Series Editor, Oneto, Luca, Series Editor, Panigrahi, Bijaya Ketan, Series Editor, Pascucci, Federica, Series Editor, Qin, Yong, Series Editor, Seng, Gan Woon, Series Editor, Speidel, Joachim, Series Editor, Veiga, Germano, Series Editor, Wu, Haitao, Series Editor, Zamboni, Walter, Series Editor, Tan, Kay Chen, Series Editor, Pierfederici, Serge, editor, and Martin, Jean-Philippe, editor

Published
2024
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45. Fully Decentralized Control Strategy for Synchronous Open-Winding Motors

Author

Dassonville, Louis, Gauthier, Jean-Yves, Lin-Shi, Xuefang, Makki, Ali, Angrisani, Leopoldo, Series Editor, Arteaga, Marco, Series Editor, Chakraborty, Samarjit, Series Editor, Chen, Jiming, Series Editor, Chen, Shanben, Series Editor, Chen, Tan Kay, Series Editor, Dillmann, Rüdiger, Series Editor, Duan, Haibin, Series Editor, Ferrari, Gianluigi, Series Editor, Ferre, Manuel, Series Editor, Jabbari, Faryar, Series Editor, Jia, Limin, Series Editor, Kacprzyk, Janusz, Series Editor, Khamis, Alaa, Series Editor, Kroeger, Torsten, Series Editor, Li, Yong, Series Editor, Liang, Qilian, Series Editor, Martín, Ferran, Series Editor, Ming, Tan Cher, Series Editor, Minker, Wolfgang, Series Editor, Misra, Pradeep, Series Editor, Mukhopadhyay, Subhas, Series Editor, Ning, Cun-Zheng, Series Editor, Nishida, Toyoaki, Series Editor, Oneto, Luca, Series Editor, Panigrahi, Bijaya Ketan, Series Editor, Pascucci, Federica, Series Editor, Qin, Yong, Series Editor, Seng, Gan Woon, Series Editor, Speidel, Joachim, Series Editor, Veiga, Germano, Series Editor, Wu, Haitao, Series Editor, Zamboni, Walter, Series Editor, Tan, Kay Chen, Series Editor, Pierfederici, Serge, editor, and Martin, Jean-Philippe, editor

Published
2024
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46. Quasi 3D Reluctance Network Modeling of an Axial Flux Switched Reluctance Machine

Author

Hatoum, Mostafa, Asfirane, Salim, Barakat, Georges, Amara, Yacine, Angrisani, Leopoldo, Series Editor, Arteaga, Marco, Series Editor, Chakraborty, Samarjit, Series Editor, Chen, Jiming, Series Editor, Chen, Shanben, Series Editor, Chen, Tan Kay, Series Editor, Dillmann, Rüdiger, Series Editor, Duan, Haibin, Series Editor, Ferrari, Gianluigi, Series Editor, Ferre, Manuel, Series Editor, Jabbari, Faryar, Series Editor, Jia, Limin, Series Editor, Kacprzyk, Janusz, Series Editor, Khamis, Alaa, Series Editor, Kroeger, Torsten, Series Editor, Li, Yong, Series Editor, Liang, Qilian, Series Editor, Martín, Ferran, Series Editor, Ming, Tan Cher, Series Editor, Minker, Wolfgang, Series Editor, Misra, Pradeep, Series Editor, Mukhopadhyay, Subhas, Series Editor, Ning, Cun-Zheng, Series Editor, Nishida, Toyoaki, Series Editor, Oneto, Luca, Series Editor, Panigrahi, Bijaya Ketan, Series Editor, Pascucci, Federica, Series Editor, Qin, Yong, Series Editor, Seng, Gan Woon, Series Editor, Speidel, Joachim, Series Editor, Veiga, Germano, Series Editor, Wu, Haitao, Series Editor, Zamboni, Walter, Series Editor, Tan, Kay Chen, Series Editor, Pierfederici, Serge, editor, and Martin, Jean-Philippe, editor

Published
2024
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47. Losses Prediction in the Frequency Domain for Voltage Source Inverters

Author

Pichon, Hugot, Lembeye, Yves, Crebier, Jean-Christophe, Angrisani, Leopoldo, Series Editor, Arteaga, Marco, Series Editor, Chakraborty, Samarjit, Series Editor, Chen, Jiming, Series Editor, Chen, Shanben, Series Editor, Chen, Tan Kay, Series Editor, Dillmann, Rüdiger, Series Editor, Duan, Haibin, Series Editor, Ferrari, Gianluigi, Series Editor, Ferre, Manuel, Series Editor, Jabbari, Faryar, Series Editor, Jia, Limin, Series Editor, Kacprzyk, Janusz, Series Editor, Khamis, Alaa, Series Editor, Kroeger, Torsten, Series Editor, Li, Yong, Series Editor, Liang, Qilian, Series Editor, Martín, Ferran, Series Editor, Ming, Tan Cher, Series Editor, Minker, Wolfgang, Series Editor, Misra, Pradeep, Series Editor, Mukhopadhyay, Subhas, Series Editor, Ning, Cun-Zheng, Series Editor, Nishida, Toyoaki, Series Editor, Oneto, Luca, Series Editor, Panigrahi, Bijaya Ketan, Series Editor, Pascucci, Federica, Series Editor, Qin, Yong, Series Editor, Seng, Gan Woon, Series Editor, Speidel, Joachim, Series Editor, Veiga, Germano, Series Editor, Wu, Haitao, Series Editor, Zamboni, Walter, Series Editor, Tan, Kay Chen, Series Editor, Pierfederici, Serge, editor, and Martin, Jean-Philippe, editor

Published
2024
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48. Modeling the Non-linearities of Charge-Transfers and Solid Electrolyte Interphase Resistances for a Sodium-Ion Battery with a Hard Carbon Electrode

Author

Rabab, Houssam, Damay, Nicolas, Vendrame, Fernanda, Forgez, Christophe, Mejdoubi, Asmae El, Angrisani, Leopoldo, Series Editor, Arteaga, Marco, Series Editor, Chakraborty, Samarjit, Series Editor, Chen, Jiming, Series Editor, Chen, Shanben, Series Editor, Chen, Tan Kay, Series Editor, Dillmann, Rüdiger, Series Editor, Duan, Haibin, Series Editor, Ferrari, Gianluigi, Series Editor, Ferre, Manuel, Series Editor, Jabbari, Faryar, Series Editor, Jia, Limin, Series Editor, Kacprzyk, Janusz, Series Editor, Khamis, Alaa, Series Editor, Kroeger, Torsten, Series Editor, Li, Yong, Series Editor, Liang, Qilian, Series Editor, Martín, Ferran, Series Editor, Ming, Tan Cher, Series Editor, Minker, Wolfgang, Series Editor, Misra, Pradeep, Series Editor, Mukhopadhyay, Subhas, Series Editor, Ning, Cun-Zheng, Series Editor, Nishida, Toyoaki, Series Editor, Oneto, Luca, Series Editor, Panigrahi, Bijaya Ketan, Series Editor, Pascucci, Federica, Series Editor, Qin, Yong, Series Editor, Seng, Gan Woon, Series Editor, Speidel, Joachim, Series Editor, Veiga, Germano, Series Editor, Wu, Haitao, Series Editor, Zamboni, Walter, Series Editor, Tan, Kay Chen, Series Editor, Pierfederici, Serge, editor, and Martin, Jean-Philippe, editor

Published
2024
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49. Online Detection of PV Degradation Effects Through ANN Classifier

Author

Guejia Burbano, Rudy Alexis, Noviello, Vincenzo, Petrone, Giovanni, Angrisani, Leopoldo, Series Editor, Arteaga, Marco, Series Editor, Chakraborty, Samarjit, Series Editor, Chen, Jiming, Series Editor, Chen, Shanben, Series Editor, Chen, Tan Kay, Series Editor, Dillmann, Rüdiger, Series Editor, Duan, Haibin, Series Editor, Ferrari, Gianluigi, Series Editor, Ferre, Manuel, Series Editor, Jabbari, Faryar, Series Editor, Jia, Limin, Series Editor, Kacprzyk, Janusz, Series Editor, Khamis, Alaa, Series Editor, Kroeger, Torsten, Series Editor, Li, Yong, Series Editor, Liang, Qilian, Series Editor, Martín, Ferran, Series Editor, Ming, Tan Cher, Series Editor, Minker, Wolfgang, Series Editor, Misra, Pradeep, Series Editor, Mukhopadhyay, Subhas, Series Editor, Ning, Cun-Zheng, Series Editor, Nishida, Toyoaki, Series Editor, Oneto, Luca, Series Editor, Panigrahi, Bijaya Ketan, Series Editor, Pascucci, Federica, Series Editor, Qin, Yong, Series Editor, Seng, Gan Woon, Series Editor, Speidel, Joachim, Series Editor, Veiga, Germano, Series Editor, Wu, Haitao, Series Editor, Zamboni, Walter, Series Editor, Tan, Kay Chen, Series Editor, Pierfederici, Serge, editor, and Martin, Jean-Philippe, editor

Published
2024
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50. Uncertainties Impact and Mitigation with an Adaptive Model-Based Voltage Controller

Author

Putratama, Muhammad Andy, Rigo-Mariani, Rémy, Debusschere, Vincent, Bésanger, Yvon, Angrisani, Leopoldo, Series Editor, Arteaga, Marco, Series Editor, Chakraborty, Samarjit, Series Editor, Chen, Jiming, Series Editor, Chen, Shanben, Series Editor, Chen, Tan Kay, Series Editor, Dillmann, Rüdiger, Series Editor, Duan, Haibin, Series Editor, Ferrari, Gianluigi, Series Editor, Ferre, Manuel, Series Editor, Jabbari, Faryar, Series Editor, Jia, Limin, Series Editor, Kacprzyk, Janusz, Series Editor, Khamis, Alaa, Series Editor, Kroeger, Torsten, Series Editor, Li, Yong, Series Editor, Liang, Qilian, Series Editor, Martín, Ferran, Series Editor, Ming, Tan Cher, Series Editor, Minker, Wolfgang, Series Editor, Misra, Pradeep, Series Editor, Mukhopadhyay, Subhas, Series Editor, Ning, Cun-Zheng, Series Editor, Nishida, Toyoaki, Series Editor, Oneto, Luca, Series Editor, Panigrahi, Bijaya Ketan, Series Editor, Pascucci, Federica, Series Editor, Qin, Yong, Series Editor, Seng, Gan Woon, Series Editor, Speidel, Joachim, Series Editor, Veiga, Germano, Series Editor, Wu, Haitao, Series Editor, Zamboni, Walter, Series Editor, Tan, Kay Chen, Series Editor, Pierfederici, Serge, editor, and Martin, Jean-Philippe, editor

Published
2024
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