Fuzzy Fault-Tolerant Boundary Control for Nonlinear DPSs With Multiple Delays and Stochastic Actuator Failures - Details

Author：

Wang, Z. (Wang, Z..) | Zhang, X. (Zhang, X..) | Qiao, J. (Qiao, J..) | Wu, H. (Wu, H..) | Huang, T. (Huang, T..)

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EI Scopus SCIE

Abstract：

For　nonlinear　distributed　parameter　systems　(DPSs)　with　multiple　delays,　this　study　considers　a　fuzzy　fault-tolerant　boundary　control　(BC)　with　stochastic　actuator　failures　under　boundary　measurement.　First,　we　exactly　represent　the　nonlinear　DPS　with　multiple　delays　by　the　Takagi-Sugeno　(T-S)　fuzzy　delayed　partial　differential　equation　(PDE).　Next,　on　basis　of　T-S　fuzzy　delayed　PDE　model,　a　fuzzy　fault-tolerant　BC　design　with　stochastic　actuator　failures　under　boundary　measurement　guaranteeing　the　stochastically　exponential　stability　for　closedloop　DPS　with　multiple　delays　is　subsequently　presented　by　linear　matrix　inequalities　(LMIs).　Lastly,　the　effectiveness　of　the　investigated　fuzzy　fault-tolerant　BC　strategy　with　stochastic　actuator　failures　under　boundary　measurement　is　proposed　via　a　simulation　example.　IEEE

Keyword：

Actuators Boundary measurement Fuzzy fault-tolerant boundary control (BC) Biological system modeling Distributed parameter system (DPS) Linear matrix inequalities Stochastic actuator failures Multiple delays Fault tolerance Fault tolerant systems Delays Stochastic processes

Author Community：

[ 1 ] [Wang Z.]Faculty of Information Technology, Beijing Laboratory of Smart Environmental Protection, Beijing Key Laboratory of Computational Intelligence and Intelligent System, and Beijing Institute of Artificial Intelligence, Beijing University of Technology, Beijing, China
[ 2 ] [Zhang X.]School of Automation, Central South University, Changsha, China
[ 3 ] [Qiao J.]Faculty of Information Technology, Beijing Laboratory of Smart Environmental Protection, Beijing Key Laboratory of Computational Intelligence and Intelligent System, and Beijing Institute of Artificial Intelligence, Beijing University of Technology, Beijing, China
[ 4 ] [Wu H.]Science and Technology on Aircraft Control Laboratory, School of Automation Science and Electrical Engineering, Beihang University, Beijing, China
[ 5 ] [Huang T.]Science Program, Texas A&M University, College Station, TX, USA

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Source ：

IEEE Transactions on Fuzzy Systems

ISSN： 1063-6706

Year： 2024

Issue： 5

Volume： 32

Page： 1-11

1 1 . 9 0 0

JCR@2022

Cited Count：

WoS CC Cited Count： 0

SCOPUS Cited Count： 8

ESI Highly Cited Papers on the List： 0 Unfold All

WanFang Cited Count：

Chinese Cited Count：

30 Days PV： 4

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