Distributed model free adaptive fault-tolerant consensus tracking control for multiagent systems with actuator faults

被引：5
|
作者：
Wang, Yuan [1 ,2 ]
Wang, Zhanshan [1 ]
机构：
[1] Northeastern Univ, Coll Informat Sci & Engn, Shenyang 110819, Peoples R China
[2] Yantai Univ, Sch Comp & Control Engn, Yantai 264005, Peoples R China
来源：
INFORMATION SCIENCES | 2024年 / 664卷
基金：
中国国家自然科学基金;
关键词：
Multiagent systems; Actuator fault; Consensus tracking; Fault-tolerant control; Model-free adaptive control; FIXED-TIME CONSENSUS; NEURAL-NETWORKS; SYNCHRONIZATION; GENERATORS;
D O I：
10.1016/j.ins.2024.120313
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 model free fault -tolerant consensus tracking control problem is studied for the multiagent systems with actuator faults. To reduce the impact of fault, an adaptive estimation law is developed to estimate the fault information online, which doesn't need an additional training and can reduce the computational cost. With the help of the adaptive fault compensation, a distributed model free adaptive fault -tolerant consensus tracking mechanism is designed to guarantee that agents are able to track the expected signal. Furthermore, only the input/output data of agents are employed throughout the design process, the system dynamics are not required. The effectiveness of developed approach is illustrated through the simulation examples.
引用
收藏
页数：13
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