详细信息
Adaptive fuzzy fault-tolerant containment control for nonlinear multiagent systems based on modified distributed observer ( SCI-EXPANDED收录 EI收录)
文献类型:期刊文献
英文题名:Adaptive fuzzy fault-tolerant containment control for nonlinear multiagent systems based on modified distributed observer
作者:Chen, Lei[1];Xue, Hong[2];Liang, Hongjing[3];Zhao, Meng[4]
机构:[1]Bohai Univ, Coll Control Sci & Engn, Jinzhou 121013, Peoples R China;[2]Bohai Univ, Coll Math Sci, Jinzhou 121013, Peoples R China;[3]Univ Elect Sci & Technol China, Sch Automat Engn, Chengdu 611731, Peoples R China;[4]East China Univ Sci & Technol, Key Lab Smart Mfg Energy Chem Proc, Minist Educ, Shanghai 200237, Peoples R China
年份:2023
卷号:464
外文期刊名:FUZZY SETS AND SYSTEMS
收录:;EI(收录号:20225013253328);WOS:【SCI-EXPANDED(收录号:WOS:001001083700001)】;
基金:Acknowledgements This work was partially supported by the National Natural Science Foundation of China (62073046) .
语种:英文
外文关键词:Distributed observer; Fuzzy fault -tolerant control; Finite -time control; Stochastic multiagent systems
摘要:This paper investigates the finite-time fault-tolerant containment control problem for stochastic nonlinear multiagent systems with intermittent actuator faults. A modified distributed observer is designed to estimate unmeasured states in systems. Compared with the existing result, the estimation precision of the modified observer is significantly enhanced in the presence of various uncertainties in the control channel. Moreover, this paper designs a compensation mechanism for intermittent faults to suppress the adverse effects caused by each fault. Then a finite-time fuzzy fault-tolerant containment control scheme is proposed to make all followers converge to the convex hull formed by leaders in a finite time. It is proved that all signals of closed-loop systems are semi-globally finite-time stable in probability based on the finite-time stochastic Lyapunov stability theory, and containment errors can converge to a small neighborhood of the origin. Finally, simulation studies are provided to illustrate the effectiveness of the proposed control scheme.(c) 2022 Elsevier B.V. All rights reserved.
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