Event-Triggered Control Protocols for Achieving Bipartite Consensus in Switched Multi-Agent Systems

This paper investigates the bipartite consensus problem for multi-agent systems subject to both switching dynamics and external disturbances within an event-triggered control (ETC) framework. The investigation commences with an analysis of time-invariant systems to establish bipartite consensus, and subsequently expands the framework to accommodate the complexities of switched systems. In time-invariant systems, agents update their states only when the event-triggering threshold is exceeded; the convergence of this mechanism can be rigorously established via an error dynamics mode. For switched systems, the system state is also updated solely when the event-triggering condition is met. Once all subsystems are stabilized, we design an appropriate mean sojourn time to mitigate state jumps caused by switching, thus ensuring bipartite consensus. Finally, four case studies based on numerical simulations to verify the theoretical results.

Authors

Institutions

Publication Details

Journal
Automation
Published
2026-01-21
DOI
https://doi.org/10.3390/automation7010022
Primary Topic
Distributed Control Multi-Agent Systems
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Event-Triggered Control Protocols for Achieving Bipartite Consensus in Switched Multi-Agent Systems

Zonglin Zou, Ku Du, Zhang Ye
Automation
Distributed Control Multi-Agent Systems
article

Event-Triggered Control Protocols for Achieving Bipartite Consensus in Switched Multi-Agent Systems

Zonglin Zou, Ku Du, Zhang Ye
article en

Abstract

This paper investigates the bipartite consensus problem for multi-agent systems subject to both switching dynamics and external disturbances within an event-triggered control (ETC) framework. The investigation commences with an analysis of time-invariant systems to establish bipartite consensus, and subsequently expands the framework to accommodate the complexities of switched systems. In time-invariant systems, agents update their states only when the event-triggering threshold is exceeded; the convergence of this mechanism can be rigorously established via an error dynamics mode. For switched systems, the system state is also updated solely when the event-triggering condition is met. Once all subsystems are stabilized, we design an appropriate mean sojourn time to mitigate state jumps caused by switching, thus ensuring bipartite consensus. Finally, four case studies based on numerical simulations to verify the theoretical results.

AutomationVol. 7(1)
Anhui University (CN)
Openalex Percentile: Top 85%
Distributed Control Multi-Agent Systems
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Event-Triggered Control Protocols for Achieving Bipartite Consensus in Switched Multi-Agent Systems — Zonglin Zou, Ku Du, et al. · Automation (2026) | TGRS Research Map | TGRS