Fully Distributed Dynamic Event-Triggered Consensus of Heterogeneous Multiagent Systems With Applications to Voltage Control

This article investigates a heterogeneous multiagent system composed of first-order agents and second-order agents. Control strategies for achieving average consensus and bipartite consensus are proposed, along with the design of a fully distributed dynamic event-triggered control algorithm. Under the proposed event-triggered mechanism, agent updates the control input and exchanges information with neighboring agents solely when its own triggering times arrive, requiring only local information without relying on global system knowledge or the real-time states of neighboring agents. It is rigorously proven that “Zeno behavior” is excluded. Simulation results are given to demonstrate that the proposed control protocols are effective and feasible.

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Publication Details

Journal
IEEE Transactions on Industrial Informatics
Published
2025-09-03
DOI
https://doi.org/10.1109/tii.2025.3598435
Primary Topic
Logic, Reasoning, and Knowledge
Type
article
Field-Weighted Citation Impact
0.00

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Controls
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article

Fully Distributed Dynamic Event-Triggered Consensus of Heterogeneous Multiagent Systems With Applications to Voltage Control

Bo Li, Weichao Liu, Xiaowei Jiang
IEEE Transactions on Industrial Informatics
Logic, Reasoning, and Knowledge
article

Fully Distributed Dynamic Event-Triggered Consensus of Heterogeneous Multiagent Systems With Applications to Voltage Control

Bo Li, Weichao Liu, Xiaowei Jiang
article en

Abstract

This article investigates a heterogeneous multiagent system composed of first-order agents and second-order agents. Control strategies for achieving average consensus and bipartite consensus are proposed, along with the design of a fully distributed dynamic event-triggered control algorithm. Under the proposed event-triggered mechanism, agent updates the control input and exchanges information with neighboring agents solely when its own triggering times arrive, requiring only local information without relying on global system knowledge or the real-time states of neighboring agents. It is rigorously proven that “Zeno behavior” is excluded. Simulation results are given to demonstrate that the proposed control protocols are effective and feasible.

IEEE Transactions on Industrial InformaticsVol. 21(12)
Anhui University of Finance and Economics (CN), China University of Geosciences (CN)
National Natural Science Foundation of China, Provincial Foundation for Excellent Young Talents of Colleges and Universities of Anhui Province
Openalex Percentile: Top 88%
Logic, Reasoning, and Knowledge
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