JOURNAL ARTICLE

Intermittent event-triggered control for finite-time bipartite consensus of second-order multi-agent systems

Yunchou ZhouYongqing YangQi ChangXianyun Xu

Year: 2022 Journal:   Proceedings of the Institution of Mechanical Engineers Part I Journal of Systems and Control Engineering Vol: 236 (7)Pages: 1255-1273   Publisher: SAGE Publishing

Abstract

This article discusses how second-order nonlinear multi-agent systems achieve bipartite consensus in finite-time using intermittent event-triggered control strategies. Due to the problem arising from antagonistic links between neighboring nodes of second-order multi-agents, the finite-time bipartite consensus analysis is investigated, which is more challenging than that with only cooperative communication links. Accounting for limitations of communication bandwidths, an intermittent framework is proposed first. By utilizing algebraic graph theories and gauge transformations, sufficient conditions are given to achieve finite-time consensus in signed second-order multi-agent systems. Second, a hybrid control mechanism combining intermittent control with event-triggered control is developed. Therefore, some finite-time synchronization conditions of second-order multi-agents on signed graphs are further studied. The proposed protocol reduces the updating frequency of the controller, which saves communication resources a lot. Finally, the Zeno behavior is excluded and some numerical examples are performed to show the effectiveness of the theoretical analysis.

Keywords:
Bipartite graph Algebraic graph theory Computer science Multi-agent system Controller (irrigation) Control theory (sociology) Synchronization (alternating current) Consensus Nonlinear system Protocol (science) Control (management) Distributed computing Graph Mathematics Theoretical computer science Artificial intelligence Computer network

Metrics

5
Cited By
1.07
FWCI (Field Weighted Citation Impact)
36
Refs
0.70
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
Advanced Memory and Neural Computing
Physical Sciences →  Engineering →  Electrical and Electronic Engineering
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