Adaptive Quantized Consensus Control for Uncertain Nonlinear Multiagent Systems with Actuator Faults

被引：0
|
作者：
Xu, Haorui [1 ]
Cao, Liang [1 ]
机构：
[1] Bohai Univ, Coll Control Sci & Engn, Jinzhou 121013, Liaoning, Peoples R China
来源：
2023 IEEE 12TH DATA DRIVEN CONTROL AND LEARNING SYSTEMS CONFERENCE, DDCLS | 2023年
基金：
中国国家自然科学基金;
关键词：
Adaptive control; consensus tracking; fault-tolerant control; nonlinear multiagent systems (MASs); TRACKING;
D O I：
10.1109/DDCLS58216.2023.10166179
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 studies the adaptive fault-tolerant quantized consensus control problem for a class of nonlinear multiagent systems with time-varying parameters and disturbances. With parameters compensation technique, a distributed adaptive consensus control scheme is developed, where the bound of the actuator fault parameters is estimated. Then a robust distributed adaptive quantized consensus tracking controller is designed to compensate the effect of unknown time-varying parameters and external disturbances. Based on Lyapunov stability theory, it is proven that the control strategy can guarantee the stability of the closed-loop systems, which is demonstrated by simulation results.
引用
收藏
页码：592 / 597
页数：6
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