Event‐Triggered Predefined‐Time Adaptive Bipartite Consensus Control of Nonlinear MASs With Actuator Faults

ABSTRACT This paper addresses the problem of event‐triggered predefined‐time adaptive bipartite consensus control for nonlinear multi‐agent systems (MASs) with actuator faults. By incorporating the command filter and error compensation mechanism into the backstepping design framework, the problem of “explosion of complexity” is effectively handled, while simultaneously reducing the effect of filtered errors. Moreover, the utilization of the adaptive compensation technique and event‐triggered control strategy effectively handles unknown actuator faults and conserves communication resources. The singularity issue is resolved by utilizing the feature of hyperbolic tangent functions. It is proven that the closed‐loop system is practically predefined‐time stable, and the bipartite consensus errors converge to a small neighborhood of the origin within a predefined time. Finally, simulation results confirm the effectiveness of the proposed predefined‐time control method.

Authors

Institutions

Publication Details

Journal
International Journal of Adaptive Control and Signal Processing
Published
2025-10-08
DOI
https://doi.org/10.1002/acs.4085
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 Predefined‐Time Adaptive Bipartite Consensus Control of Nonlinear MASs With Actuator Faults

Guozeng Cui, Qi Chang, Ze Li, Zhencheng Yu
International Journal of Adaptive Control and Signal Processing
Distributed Control Multi-Agent Systems
article

Event‐Triggered Predefined‐Time Adaptive Bipartite Consensus Control of Nonlinear MASs With Actuator Faults

Guozeng Cui, Qi Chang, Ze Li, Zhencheng Yu
article en

Abstract

ABSTRACT This paper addresses the problem of event‐triggered predefined‐time adaptive bipartite consensus control for nonlinear multi‐agent systems (MASs) with actuator faults. By incorporating the command filter and error compensation mechanism into the backstepping design framework, the problem of “explosion of complexity” is effectively handled, while simultaneously reducing the effect of filtered errors. Moreover, the utilization of the adaptive compensation technique and event‐triggered control strategy effectively handles unknown actuator faults and conserves communication resources. The singularity issue is resolved by utilizing the feature of hyperbolic tangent functions. It is proven that the closed‐loop system is practically predefined‐time stable, and the bipartite consensus errors converge to a small neighborhood of the origin within a predefined time. Finally, simulation results confirm the effectiveness of the proposed predefined‐time control method.

International Journal of Adaptive Control and Signal ProcessingVol. 40(1)
Suzhou University of Science and Technology (CN)
Openalex Percentile: Top 67%
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.