干扰抑制多智能体系统的基于观测器的全分布二部一致性

IF 5.5 2区 计算机科学 Q1 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Neurocomputing Pub Date : 2024-11-19 DOI:10.1016/j.neucom.2024.128842
Jian-Qiao Wang , Jin-Liang Wang , Xueming Dong
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引用次数: 0

摘要

采用基于观测器的输出反馈控制方法,解决了多智能体系统存在确定性扰动时的二部一致性问题。基于无领导和领导-跟随两种方法,设计了两个完全分布式的基于观测器的输出反馈控制器,以保证质量的二部一致性。此外,由于实际系统中通信信道的带宽有限,还开发了一种事件触发的MASs二部共识输出反馈控制器,可以保证不发生Zeno行为。最后,通过实例验证了控制协议的有效性和优越性。
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Observer-based fully distributed bipartite consensus of multiagent systems with disturbance rejection
Observer-based output feedback control method is utilized to deal with the bipartite consensus problem of multiagent systems (MASs) suffering deterministic disturbances. Based on the leaderless and leader-follower methods, two fully distributed observer-based output feedback controllers are devised to guarantee the bipartite consensus of MASs. Moreover, due to the limited bandwidth of communication channels in practical systems, an event-triggered output feedback controller for the bipartite consensus of MASs is also developed and can guarantee that Zeno behavior does not occur. Finally, the effectiveness and advantages of the control protocols are verified via illustrate examples.
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来源期刊
Neurocomputing
Neurocomputing 工程技术-计算机:人工智能
CiteScore
13.10
自引率
10.00%
发文量
1382
审稿时长
70 days
期刊介绍: Neurocomputing publishes articles describing recent fundamental contributions in the field of neurocomputing. Neurocomputing theory, practice and applications are the essential topics being covered.
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