控制方向未知的非线性多智能体系统的自适应模糊容错控制

Dongyang Wang, Yong-ming Li, Shaocheng Tong
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引用次数: 0

摘要

研究了具有未知控制方向和执行器故障的多智能体系统的主动容错控制问题。代理之间的通信拓扑是定向的,并且存在一个领导者,该领导者至少具有通往每个追随者的定向路径。本文所考虑的系统包含非结构化不确定性、未知控制方向和执行器故障。采用模糊逻辑系统逼近未知非线性函数,利用努斯鲍姆增益函数解决控制方向未知的问题。基于反演设计原理和动态面控制技术,提出了一种容错控制方案。利用Lyapunov函数稳定性理论,所提出的FTC控制器可以保证所有子系统的所有信号都是有界的,并且每个子系统的跟踪误差收敛到零的小邻域。
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Adaptive fuzzy fault-tolerant control for nonlinear multi-agent systems with unknown control direction
In this paper, the problem of active fault-tolerant control (FTC) is investigated for multi-agent systems with unknown control direction and actuator faults. The communication topology among the agents is directed and exist one leader that has a directed path to each follower at least. The system considered in this paper is consist of unstructured uncertainties, unknown control direction, and actuator faults. The fuzzy logic system is used for approach unknown nonlinear function, the problem of unknown control direction can be solved by using Nussbaum gain function. Based on backstepping design principle and the dynamic surface control technique, a fault-tolerant containment control scheme is developed. By using Lyapunov function stability theory, the proposed FTC controller can guarantee that all signals in all subsystems are bounded, and the tracking errors for each subsystem converge to a small neighborhood of zero.
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