JOURNAL ARTICLE

Couple-Group Consensus of Cooperative–Competitive Heterogeneous Multiagent Systems: A Fully Distributed Event-Triggered and Pinning Control Method

Kangying LiLianghao JiShasha YangHuaqing LiXiaofeng Liao

Year: 2020 Journal:   IEEE Transactions on Cybernetics Vol: 52 (6)Pages: 4907-4915   Publisher: Institute of Electrical and Electronics Engineers

Abstract

This article discusses the couple-group consensus for heterogeneous multiagent systems via event-triggered and pinning control methods. Considering cooperative-competitive interaction among the agents, a novel group consensus protocol is designed. As inducing the time-correlation threshold function, a class of fully distributed event-triggered conditions without depending on any global information is proposed. Utilizing the Lyapunov stability theory, some sufficient conditions are obtained. Under hybrid event triggered and pinning control, pinning control strategies are first introduced. It is shown that under the proposed strategies, all agents can asymptotically achieve pinning couple-group consensus with discontinuous communication in a fully distributed way. Furthermore, the Zeno behavior for each agent is overcome. Finally, the reduction of the systems' controller update frequency and the correctness of our conclusions are illustrated by some simulations.

Keywords:
Correctness Multi-agent system Control theory (sociology) Controller (irrigation) Consensus Computer science Lyapunov function Protocol (science) Lyapunov stability Stability theory Group (periodic table) Control (management) Distributed computing Physics Algorithm Artificial intelligence Nonlinear system

Metrics

91
Cited By
4.41
FWCI (Field Weighted Citation Impact)
52
Refs
0.94
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Distributed Control Multi-Agent Systems
Physical Sciences →  Computer Science →  Computer Networks and Communications
Neural Networks Stability and Synchronization
Physical Sciences →  Computer Science →  Computer Networks and Communications
Nonlinear Dynamics and Pattern Formation
Physical Sciences →  Computer Science →  Computer Networks and Communications
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