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Event-Triggered Consensus of Matrix-Weighted Networks Subject to Actuator Saturation

控制理论(社会学) 执行机构 计算机科学 背景(考古学) 标量(数学) 分布式计算 数学优化 数学 人工智能 控制(管理) 几何学 生物 古生物学
作者
Lulu Pan,Haibin Shao,Yuanlong Li,Dewei Li,Yugeng Xi
出处
期刊:IEEE Transactions on Network Science and Engineering [Institute of Electrical and Electronics Engineers]
卷期号:10 (1): 463-476 被引量:10
标识
DOI:10.1109/tnse.2022.3212773
摘要

This paper examines the event-triggered global consensus of matrix-weighted networks subject to actuator saturation. A distributed protocol design is proposed for this category of networks to guarantee its global consensus subject to both event-triggered communication and actuator saturation. It is shown that the largest singular value of matrix-valued edge weights plays a crucial role in both protocol design and network performance, which renders the proposed framework more general than existing results that are only applicable to scalar-weighted networks. Conditions under which the global consensus can be guaranteed for leaderless matrix-weighted multi-agent networks are derived. However, the average consensus on the initial agents' states cannot be achieved due to the nonlinearities introduced in the closed-loop dynamics by the actuator saturation constraint. We further examine the scenario of leader-follower consensus for matrix-weighted multi-agent networks under the constraints of both event-triggered communication and actuator saturation. The applicability of the proposed protocol design framework to time-varying matrix-weighted networks is also examined. It is shown that the Zeno phenomenon can be excluded under the proposed interaction protocols. Simulation results in the context of the bearing-only cooperative formation of multi-vehicle systems are provided to demonstrate the effectiveness of theoretical results.
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