控制理论(社会学)
执行机构
反推
模糊逻辑
观察员(物理)
非线性系统
计算机科学
容错
模糊控制系统
凸壳
多智能体系统
工程类
控制工程
自适应控制
控制(管理)
数学
分布式计算
正多边形
人工智能
物理
量子力学
几何学
作者
Jun Zhang,Shaocheng Tong
标识
DOI:10.1016/j.ejcon.2023.100887
摘要
In this paper, the observer-based fully distributed event-triggered adaptive fuzzy containment fault-tolerant control (FTC) problem is studied for nonlinear multi-agent systems (MASs) subject to unknown actuator faults. Fuzzy logic systems (FLSs) are utilized to model unknown agents, and a new state observer is constructed to estimate unmeasurable states. Since the global communication information of topology is not available, the local reference signals are also not available, a distributed estimator is introduced to obtain the information of the local reference signals. To deal with the unknown actuator faults, a novel actuator fault compensation mechanism with a projection operator is adopted. Then based on backstepping technique and by designing a two-channel event-triggered mechanism, a fully distributed event-triggered containment FTC approach is developed. It is testified that all parameters and variables of the controlled system are bounded, and the followers can converge to the dynamic convex hull spanned by the leaders. Finally, we apply the developed control algorithm to the multiple unmanned surface vehicle (USV) systems, and the corresponding simulation results further confirm the feasibility of the developed control algorithm.
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