具有通信链路故障的线性多智能体系统的基于观测器的leader-follower二部共识

IF 3.4 2区 数学 Q1 MATHEMATICS, APPLIED
Dongsheng Yang , Jing He , Jiayue Sun , Juan Zhang
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引用次数: 0

摘要

研究了具有未知通信链路故障的线性多智能体系统的基于观测器的领导-追随者二部共识问题。首先,通过分别为leader和follower设计相应的leader状态观测器,并自适应调整耦合强度,解决了未知通信链路故障导致权值变化的问题;其次,提出了基于观察者的双事件触发机制,实现了通信和观察者的异步更新,节省了通信资源;触发阈值是基于自适应的leader状态误差设计的,避免了与相邻agent连续交换信息的需要。然后,将我们提出的基于领导者状态观测器的方法应用于控制,以确保系统性能和稳定系统故障处理。最后,通过两个仿真实例验证了所提控制策略的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Observer-based leader-follower bipartite consensus for linear multiagent systems with communication link faults
This article investigates the observer-based leader-follower bipartite consensus (LFBC) problem for linear multiagent systems (MASs) with unknown communication link faults. Firstly, by designing the corresponding leader state observers for the leader and each follower respectively, and adaptively adjusting the coupling strength, the weight changes due to unknown communication link faults are solved. Secondly, novel double event-triggered mechanisms (DETMs) based on observers are proposed, which can realize communication and observers updating asynchronously and help to save communication resources. The triggering threshold is designed based on the adaptive leader state error, avoiding the need for continuous information exchange with neighboring agents. Afterwards, our proposed leader state observer-based approaches are applied to the control, aiming to ensure system performance and stabilize the handling of system faults. Finally, two simulation examples are presented to verify the effectiveness of the proposed control strategy.
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来源期刊
CiteScore
7.90
自引率
10.00%
发文量
755
审稿时长
36 days
期刊介绍: Applied Mathematics and Computation addresses work at the interface between applied mathematics, numerical computation, and applications of systems – oriented ideas to the physical, biological, social, and behavioral sciences, and emphasizes papers of a computational nature focusing on new algorithms, their analysis and numerical results. In addition to presenting research papers, Applied Mathematics and Computation publishes review articles and single–topics issues.
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