Event-Triggered Average Consensus on Matrix-Weighted Networks

Consensus of multi-agent systems is investigated. To characterize interdependencies among multi-dimensional states of neighboring agents, matrix-weighted networks are utilized. Event-triggered mechanism is proposed. By introducing positive functions into the thresholds, Zeno behavior is excluded. Mo...

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Bibliographic Details
Published in:IEEE transactions on circuits and systems. II, Express briefs Express briefs, 2024-02, Vol.71 (2), p.677-681
Main Authors: Liu, Kaien, Ji, Zhijian
Format: Article
Language:English
Subjects:
Behavioral sciences
Consensus
event-triggered control
Laplace equations
Lyapunov methods
matrix-weighted networks
Multi-agent systems
Multiagent systems
Null space
Symmetric matrices
Trajectory
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Summary:Consensus of multi-agent systems is investigated. To characterize interdependencies among multi-dimensional states of neighboring agents, matrix-weighted networks are utilized. Event-triggered mechanism is proposed. By introducing positive functions into the thresholds, Zeno behavior is excluded. Moreover, theoretical analysis shows that these functions can affect the consensus convergence speed. Necessary and sufficient conditions for achieving average consensus are given. Both algebraic and topological conditions are discussed. Finally, theoretical results are verified by numerical simulation.
ISSN:1549-7747
1558-3791
DOI:10.1109/TCSII.2023.3289259