JOURNAL ARTICLE

Event-Triggered Average Consensus of Multiagent Systems with Switching Topologies

Gaosen DongChunde YangWei Zhu

Year: 2020 Journal:   Discrete Dynamics in Nature and Society Vol: 2020 Pages: 1-7   Publisher: Hindawi Publishing Corporation

Abstract

Event-triggered average consensus of multiagent systems with switching topologies is studied in this paper. A distributed protocol based on event-triggered time sequences and switching time sequences is designed. Based on the inequality technique and stability theory of differential equations, a sufficient condition for achieving average consensus is obtained under the assumption that switching signal is ergodic and the total period over which connected topologies is sufficiently large. A numerical simulation is presented to show the effectiveness of the theoretical results.

Keywords:
Network topology Ergodic theory Computer science Multi-agent system Consensus Event (particle physics) Topology (electrical circuits) Stability (learning theory) Control theory (sociology) Mathematics Artificial intelligence Physics Computer network Pure mathematics

Metrics

2
Cited By
0.34
FWCI (Field Weighted Citation Impact)
33
Refs
0.58
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
Stability and Control of Uncertain Systems
Physical Sciences →  Engineering →  Control and Systems Engineering

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