Event-triggered Consensus of Matrix-weighted Networks Subject to Actuator Saturation
Lulu Pan, Haibin Shao, Yuanlong Li, Dewei Li, Yugeng Xi

TL;DR
This paper develops an event-triggered control strategy for multi-agent networks with matrix weights and actuator saturation, ensuring global consensus while avoiding Zeno behavior, and extends existing scalar-weighted network results.
Contribution
It introduces a novel distributed event-triggered coordination method for matrix-weighted networks with actuator saturation, broadening the scope beyond scalar-weighted networks.
Findings
Guarantees leaderless and leader-follower consensus.
Excludes Zeno phenomenon under the proposed strategy.
Highlights the importance of spectral properties of matrix weights.
Abstract
The ubiquitous interdependencies among higher-dimensional states of neighboring agents can be characterized by matrix-weighted networks. This paper examines event-triggered global consensus of matrix-weighted networks subject to actuator saturation. Specifically, a distributed dynamic event-triggered coordination strategy, whose design involves sampled state of agents, saturation constraint and auxiliary systems, is proposed for this category of generalized network to guarantee its global consensus. Under the proposed event-triggered coordination strategy, sufficient conditions are derived to guarantee the leaderless and leader-follower global consensus of the multi-agent systems on matrix-weighted networks, respectively. The Zeno phenomenon can be excluded for both cases under the proposed coordination strategy. It turns out that the spectral properties of matrix-valued weights are…
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Taxonomy
TopicsDistributed Control Multi-Agent Systems · Neural Networks Stability and Synchronization · Opinion Dynamics and Social Influence
