Robust Filtering and Fault Detection for T-S Fuzzy Systems

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Springer

Paru le : 2025-05-31

This book conducts an in-depth research on robust filtering and fault detection for a class of T-S fuzzy systems. On the basis of the existing research on T-S fuzzy theory, robust filtering theory, and fault diagnosis theory, some new and effective technologies are proposed to solve the problems of ...
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Éditeur

Collection
n.c

Parution
2025-05-31

Pages
148 pages

EAN papier
9789819658176

Associate Professor Xiao-Lei Wang received the B.S. degree in automation, the M.S., and Ph.D. degrees in control theory and control engineering from Northeastern University, Shenyang, China, in 2014, 2016, and 2020, respectively. He is currently Associate Professor with the School of Mechatronic Engineering and Automation, Shanghai University, Shanghai, China. His current research interests include fuzzy systems, robust filtering, and fault diagnosis. He is also Member of The Institute of Electrical and Electronic Engineers (IEEE). Professor Guang-Hong Yang received the B.S. and M.S. degrees in mathematics and the Ph.D. degree in control theory and control engineering from Northeastern University, Shenyang, China, in 1983, 1986, and 1994, respectively. He is currently Chair Professor and Dean of the College of Information Science and Engineering, Northeastern University. He has authored or coauthored three monographs and over 400 papers in the international journals. His research interests include fault-tolerant control, fault detection and isolation, cyber–physical systems, and unmanned systems. Dr. Yang has been Highly Cited Researcher selected by Elsevier since 2014 and Highly Cited Researcher selected by Clarivate since 2019. He has been General Chair of the Annual Chinese Control and Decision Conference, since 2011 and is Deputy Editor-in-Chief for the Journal of Control and Decision, Editor for the International Journal of Control, Automation and Systems. He is Chair of the Technical Committee on Control and Decision for Cyber–Physical Systems and Chinese Association of Automation (CAA). He is also Fellow of the IEEE. Professor Yu-Long Wang received the B.Sc. degree in Computer Science and Technology from Liaocheng University, Liaocheng, China, in 2000, and the M.Sc. and Ph.D. degrees in Control Science and Engineering from Northeastern University, Shenyang, China, in 2006 and 2008, respectively. He was Post-doctoral Research Fellow and Research Fellow with Central Queensland University, North Rockhampton, QLD, Australia, Academic Visitor with the University of Adelaide, Adelaide, SA, Australia, and Professor with Jiangsu University of Science and Technology, Zhenjiang, Jiangsu, China. In 2017, he was appointed as Eastern Scholar by the Municipal Commission of Education, Shanghai, China, and joined Shanghai University, Shanghai, China, where he is currently Professor.

Caractéristiques détaillées - droits

EAN PDF
9789819658183
Prix
126,59 €
Nombre pages copiables
1
Nombre pages imprimables
14
Taille du fichier
6339 Ko
EAN EPUB
9789819658183
Prix
126,59 €
Nombre pages copiables
1
Nombre pages imprimables
14
Taille du fichier
16312 Ko

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