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

被引：1

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

页码：592 / 597

页数：6

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