Interval Type-2 Fuzzy Dynamic Event-Triggered H∞ Consensus of Multiagent Systems

Zhenbin Du; Xiangpeng Xie; Yonggui Kao; Xudong Zhao

doi:10.1109/TSMC.2025.3546994

Interval Type-2 Fuzzy Dynamic Event-Triggered H_∞ Consensus of Multiagent Systems

Zhenbin Du
, Xiangpeng Xie^*
, Yonggui Kao
, Xudong Zhao

^*Corresponding author for this work

Yantai University
Nanjing University of Posts and Telecommunications
Harbin Institute of Technology Weihai
Dalian University of Technology

Research output: Contribution to journal › Article › peer-review

8 Scopus citations

Abstract

This study considers a dynamic event-triggered fuzzy H_∞ consensus problem for multiagent systems (MAS) characterized by parameter uncertainties and external disturbances in interval type-2 (IT2) fuzzy form. The proposed control strategy aims to minimize data transmission by triggering control events dynamically. Stability analysis is conducted by Lyapunov stability theory, and more mathematical tools are introduced to relax the sufficient condition and demonstrate the H_∞ consensus. The developed control scheme ensures the consensus among agents, enhancing the overall system performance in the presence of uncertainties and disturbances. Finally, three examples exhibit the validity of the suggested controller.

Original language	English
Pages (from-to)	3954-3963
Number of pages	10
Journal	IEEE Transactions on Systems, Man, and Cybernetics: Systems
Volume	55
Issue number	6
DOIs	https://doi.org/10.1109/TSMC.2025.3546994
State	Published - 2025
Externally published	Yes

Keywords

H consensus
multiagent systems (MASs)
transmission mechanism

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10.1109/TSMC.2025.3546994

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title = "Interval Type-2 Fuzzy Dynamic Event-Triggered H∞ Consensus of Multiagent Systems",

abstract = "This study considers a dynamic event-triggered fuzzy H∞ consensus problem for multiagent systems (MAS) characterized by parameter uncertainties and external disturbances in interval type-2 (IT2) fuzzy form. The proposed control strategy aims to minimize data transmission by triggering control events dynamically. Stability analysis is conducted by Lyapunov stability theory, and more mathematical tools are introduced to relax the sufficient condition and demonstrate the H∞ consensus. The developed control scheme ensures the consensus among agents, enhancing the overall system performance in the presence of uncertainties and disturbances. Finally, three examples exhibit the validity of the suggested controller.",

keywords = "H consensus, multiagent systems (MASs), transmission mechanism",

author = "Zhenbin Du and Xiangpeng Xie and Yonggui Kao and Xudong Zhao",

note = "Publisher Copyright: {\textcopyright} 2013 IEEE.",

year = "2025",

doi = "10.1109/TSMC.2025.3546994",

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T1 - Interval Type-2 Fuzzy Dynamic Event-Triggered H∞ Consensus of Multiagent Systems

AU - Du, Zhenbin

AU - Xie, Xiangpeng

AU - Kao, Yonggui

AU - Zhao, Xudong

PY - 2025

Y1 - 2025

N2 - This study considers a dynamic event-triggered fuzzy H∞ consensus problem for multiagent systems (MAS) characterized by parameter uncertainties and external disturbances in interval type-2 (IT2) fuzzy form. The proposed control strategy aims to minimize data transmission by triggering control events dynamically. Stability analysis is conducted by Lyapunov stability theory, and more mathematical tools are introduced to relax the sufficient condition and demonstrate the H∞ consensus. The developed control scheme ensures the consensus among agents, enhancing the overall system performance in the presence of uncertainties and disturbances. Finally, three examples exhibit the validity of the suggested controller.

AB - This study considers a dynamic event-triggered fuzzy H∞ consensus problem for multiagent systems (MAS) characterized by parameter uncertainties and external disturbances in interval type-2 (IT2) fuzzy form. The proposed control strategy aims to minimize data transmission by triggering control events dynamically. Stability analysis is conducted by Lyapunov stability theory, and more mathematical tools are introduced to relax the sufficient condition and demonstrate the H∞ consensus. The developed control scheme ensures the consensus among agents, enhancing the overall system performance in the presence of uncertainties and disturbances. Finally, three examples exhibit the validity of the suggested controller.

KW - H consensus

KW - multiagent systems (MASs)

KW - transmission mechanism

UR - https://www.scopus.com/pages/publications/105000380074

U2 - 10.1109/TSMC.2025.3546994

DO - 10.1109/TSMC.2025.3546994

M3 - 文章

AN - SCOPUS:105000380074

SN - 2168-2216

VL - 55

SP - 3954

EP - 3963

JO - IEEE Transactions on Systems, Man, and Cybernetics: Systems

JF - IEEE Transactions on Systems, Man, and Cybernetics: Systems

IS - 6

ER -

Interval Type-2 Fuzzy Dynamic Event-Triggered H_∞ Consensus of Multiagent Systems

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Keywords

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