Simultaneous Fault Detection and Leader-Following Consensus for Multiagent Systems With Directed Graphs via Dynamic Event-Triggered Strategy

计算机科学 观察员(物理) 共识 残余物 多智能体系统 故障检测与隔离 事件(粒子物理) 算法 人工智能 量子力学 物理 执行机构
作者
Ruohan Yang,Xiaowan Su,Shuangxi Zhang,Deyun Zhou,Zhichao Feng
出处
期刊:IEEE Transactions on Instrumentation and Measurement [Institute of Electrical and Electronics Engineers]
卷期号:72: 1-11 被引量:4
标识
DOI:10.1109/tim.2023.3296833
摘要

This paper considers the problem of dynamic event-triggered simultaneous fault detection and leader-following consensus (SFDLFC) problem for nonlinear multi-agent systems (MASs) with directed graphs. Firstly, based on the distributed fault detection observer, a distributed dynamic event-triggered consensus controller is designed together with a dynamic event-triggering mechanism (DETM) to achieve leader-following consensus of MASs under directed graphs and lessen the amount of data transmission between neighboring agents. Then, a residual evaluation mechanism is developed under directed graphs to detect and isolate the faulty agent. In order to make the residual signal sensitive to the faults and robust to the tracking errors, a hybrid H / H - method is used to transform the design problem of consensus controller and fault detection observer into a multi-objective optimization problem, and sufficient conditions are obtained to satisfy the optimization performance constraints by Lyapunov theory. It should be noted that compared with the existing related works, our main contribution is that the proposed method could achieve consensus and detect faults of MASs under a more general communication graph, and the proposed DETM could generate larger triggering intervals and therefore achieve better resource efficiency. Finally, a simulation result is provided to demonstrate the effectiveness of the proposed technique.
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