多智能体系统中基于李雅普诺夫稳定性的协同容错控制
Lyapunov based Fault Tolerant Cooperative Control in Multi-agent System
协同一致性问题为分布式多智能体系统的基础问题,网络化多智能体系统可通过协同控制律实现状态一致。单个智能体的执行器故障可通过智能体间的协同行为扩散到整个系统,使整个系统失稳。然而传统的容错控制未考虑智能体间的协同行为,使其难于应用于协同系统。因此,本文建立一种一致性多智能体系统故障处理框架,研究该框架下的基于李雅普诺夫稳定性理论的协同容错控制策略。针对多故障情况,在隔离故障智能体的基础上,设计了可重构的协同控制律,以补偿故障对系统的影响,从而实现一致性多智能体系统的故障容错。
onsensus problems form the foundation of the field of distributed multi-agent systems, a consistent state is reached by cooperative law in the network of agents. Agent's actuator fault leads to system instability, which often causes quantities of economic losses and casualties. However, control input in traditional fault diagnosis and tolerance does not contain cooperative part, which makes it is not fit for multi-agent consensus. Therefore, a new framework for multi-agent system is proposed for handling fault, in this framework, we study the Lyapunov function based cooperative tolerance control. For the multiple faulty agents case, the faulty agents are isolated, a reconfigurable controller is designed to compensate for the impact of faulty agents.
周卓夫、黄志武、余志恒
自动化基础理论自动化技术、自动化技术设备
协同一致性多智能体系统容错控制
consensus multiple agents system fault tolerant cooperative control
周卓夫,黄志武,余志恒.多智能体系统中基于李雅普诺夫稳定性的协同容错控制[EB/OL].(2015-12-09)[2025-08-19].http://www.paper.edu.cn/releasepaper/content/201512-465.点此复制
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