Prescribed Performance Consensus Fuzzy Control of Multiagent Systems With Nonaffine Nonlinear Faults

被引:38
|
作者
Dong, Guowei [1 ,2 ]
Ren, Hongru [1 ,2 ]
Yao, Deyin [1 ,2 ]
Li, Hongyi [1 ,2 ]
Lu, Renquan [1 ,2 ]
机构
[1] Guangdong Univ Technol, Sch Automat, Guangzhou 510006, Peoples R China
[2] Guangdong Univ Technol, Guangdong Prov Key Lab Intelligent Decis & Cooper, Guangzhou 510006, Peoples R China
基金
中国国家自然科学基金;
关键词
Fault tolerance; Fault tolerant systems; Observers; Artificial neural networks; Switches; Multi-agent systems; Fuzzy systems; multiagent systems (MASs); output-feedback fault-tolerant control (FTC); prescribed performance; ADAPTIVE CONTAINMENT CONTROL; OUTPUT-FEEDBACK CONTROL; TRACKING CONTROL; DESIGN; STATE; SYNCHRONIZATION; STABILITY;
D O I
10.1109/TFUZZ.2020.3031385
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
The problem of leader-following consensus fault-tolerant control is investigated for multiagent systems (MASs) with time-varying nonaffine nonlinear faults, where the interactive topology is directional. In this article, to guarantee the performance consensus on tracking error, in the design process, the inherent problem of "explosion of complexity" is solved by the dynamic surface control technique. Fuzzy logic systems are employed to approximate the unknown nonlinearity effects and changes in model dynamics due to faults. A fuzzy state observer is presented to estimate the unmeasured states. According to the backstepping technique, a distributed consensus fuzzy controller is developed to guarantee that output signals of all followers and leader are synchronized. It can be proved that all variables of MASs are uniformly ultimately bounded. Finally, the validity of the control scheme is illustrated by some simulation results.
引用
收藏
页码:3936 / 3946
页数:11
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