Event-based finite-time sliding mode consensus tracking control for multiagent systems with actuator failures

被引:0
|
作者
Zheng, Lufu [1 ,2 ]
Ren, Hongru [1 ,2 ]
Yao, Deyin [1 ,2 ]
Li, Hongyi [3 ]
机构
[1] Guangdong Univ Technol, Sch Automat, Guangdong Hong Kong Joint Lab Intelligent Decis &, Guangzhou 510006, Peoples R China
[2] Guangdong Univ Technol, Guangdong Prov Key Lab Intelligent Decis & Coopera, Guangzhou 510006, Peoples R China
[3] Southwest Univ, Coll Elect & Informat Engn, Chongqing Key Lab Gener Technol & Syst Serv Robots, Chongqing, Peoples R China
基金
中国国家自然科学基金;
关键词
Event-triggered mechanism; fault-tolerant control; finite-time sliding mode control; multiagent systems; radial basis function neural network;
D O I
10.1080/00207721.2024.2392836
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This paper investigates the finite-time sliding mode control problem for multiagent systems with actuator failures and external disturbances. Given the presence of unknown nonlinear terms in the controlled multiagent systems, a radial basis function neural network is employed to ensure system robustness. To achieve consensus tracking of sliding mode dynamics within a finite-time, a finite-time integral sliding manifold is proposed. An adaptive law is designed to estimate the unknown fault coefficient, and then a distributed event-triggered adaptive sliding mode fault-tolerant control protocol is developed to deal with external disturbances and actuator faults in multiagent systems, which can effectively reduce the communication bandwidth and enhance reliability against actuator faults. To verify the effectiveness of the proposed control method, a numerical example is provided.
引用
收藏
页码:303 / 317
页数:15
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