Robust Integrated Adaptive Event-Triggered Protocols for Multi-Agent Systems

This article studies the robust adaptive eventtriggered consensus problem for multi-agent systems. A robust event-triggered adaptive protocol, incorporating an eventtriggered scheme, is proposed. The protocol enables adaptive tuning of the control gain matrix through intermittent update mechanisms, thereby ensuring control flexibility while also reducing the frequency of control updates. It is proved theoretically that the ultimate boundedness of the consensus error can be guaranteed based on the proposed protocol. The effectiveness of the proposed approach is demonstrated by a numerical example.

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Publication Details

Published
2025-06-30
DOI
https://doi.org/10.1109/icca65672.2025.11129763
Primary Topic
Distributed systems and fault tolerance
Type
article
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Robust Integrated Adaptive Event-Triggered Protocols for Multi-Agent Systems

Yang Yu, Jialing Zhou, Yuezu Lv, Yinxiang Zhao et al.
Distributed systems and fault tolerance
article

Robust Integrated Adaptive Event-Triggered Protocols for Multi-Agent Systems

Yang Yu, Jialing Zhou, Yuezu Lv, Yinxiang Zhao, Zhiyuan Luo, Qishao Wang
article en

Abstract

This article studies the robust adaptive eventtriggered consensus problem for multi-agent systems. A robust event-triggered adaptive protocol, incorporating an eventtriggered scheme, is proposed. The protocol enables adaptive tuning of the control gain matrix through intermittent update mechanisms, thereby ensuring control flexibility while also reducing the frequency of control updates. It is proved theoretically that the ultimate boundedness of the consensus error can be guaranteed based on the proposed protocol. The effectiveness of the proposed approach is demonstrated by a numerical example.

Institute of Computing Technology (CN), Beihang University (CN)
Openalex Percentile: Top 74%
Distributed systems and fault tolerance
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Robust Integrated Adaptive Event-Triggered Protocols for Multi-Agent Systems — Yang Yu, Jialing Zhou, et al. · (2025) | TGRS Research Map | TGRS