Adaptive Fixed-Time Control of Nonlinear MASs With Actuator Faults

被引：125
作者：
Ren, Hongru [1 ,2 ]
Ma, Hui [3 ]
Li, Hongyi [1 ,2 ]
Wang, Zhenyou [3 ]
机构：
[1] Guangdong Univ Technol, Sch Automat, Guangzhou 510006, Peoples R China
[2] Guangdong Univ Technol, Guangdong Prov Key Lab Intelligent Decis & Coopera, Guangzhou 510006, Peoples R China
[3] Guangdong Univ Technol, Sch Math & Stat, Guangzhou 510006, Peoples R China
来源：
IEEE-CAA JOURNAL OF AUTOMATICA SINICA | 2023年 / 10卷 / 05期
基金：
中国国家自然科学基金;
关键词：
Actuators; Fault tolerance; Filtering; Fault tolerant systems; Error compensation; Radial basis function networks; Human in the loop; Actuator faults; adaptive fixed-time control; multi-agent systems (MASs); Nussbaum function; ORDER MULTIAGENT SYSTEMS; FINITE-TIME; CONSENSUS; TRACKING; TOPOLOGY;
D O I：
10.1109/JAS.2023.123558
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
The adaptive fixed-time consensus problem for a class of nonlinear multi-agent systems (MASs) with actuator faults is considered in this paper. To approximate the unknown nonlinear functions in MASs, radial basis function neural networks are used. In addition, the first order sliding mode differentiator is utilized to solve the "explosion of complexity" problem, and a filter error compensation method is proposed to ensure the convergence of filter error in fixed time. With the help of the Nussbaum function, the actuator failure compensation mechanism is constructed. By designing the adaptive fixed-time controller, all signals in MASs are bounded, and the consensus errors between the leader and all followers converge to a small area of origin. Finally, the effectiveness of the proposed control method is verified by simulation examples.
引用
收藏
页码：1252 / 1262
页数：11
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