Event‐Triggered Adaptive Integral Sliding Mode Control for Leader–Follower Consensus With Matched Disturbances

ABSTRACT This paper investigates the leader–follower consensus problem for high‐order multi‐input–multi‐output (MIMO) linear multi‐agent systems (MASs) subject to unknown matched disturbances. First, a continuous‐time adaptive integral sliding mode (AISM) control strategy is proposed under a directed topology to enhance robustness. To alleviate the communication burden while maintaining stability, an event‐triggered adaptive integral sliding mode (ET‐AISM) control strategy is further developed. Distinguishing itself from existing literature, this work incorporates a dynamic event‐triggered mechanism (DETM) featuring internal dynamic variables. Based on Lyapunov stability theory, the robust stability of the closed‐loop system is established, and the existence of a practical sliding motion (PSM) is verified. Moreover, the exclusion of the Zeno phenomenon is rigorously proven. Finally, the effectiveness of the proposed strategy is verified through the simulations on a theory system and damped mass‐spring system.

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Publication Details

Journal
International Journal of Robust and Nonlinear Control
Published
2026-06-16
DOI
https://doi.org/10.1002/rnc.70593
Primary Topic
Distributed Control Multi-Agent Systems
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
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article

Event‐Triggered Adaptive Integral Sliding Mode Control for Leader–Follower Consensus With Matched Disturbances

Jiting Zhou, Xuedong Wen, Zhiwen Wang
International Journal of Robust and Nonlinear Control
Distributed Control Multi-Agent Systems
article

Event‐Triggered Adaptive Integral Sliding Mode Control for Leader–Follower Consensus With Matched Disturbances

Jiting Zhou, Xuedong Wen, Zhiwen Wang
article en

Abstract

ABSTRACT This paper investigates the leader–follower consensus problem for high‐order multi‐input–multi‐output (MIMO) linear multi‐agent systems (MASs) subject to unknown matched disturbances. First, a continuous‐time adaptive integral sliding mode (AISM) control strategy is proposed under a directed topology to enhance robustness. To alleviate the communication burden while maintaining stability, an event‐triggered adaptive integral sliding mode (ET‐AISM) control strategy is further developed. Distinguishing itself from existing literature, this work incorporates a dynamic event‐triggered mechanism (DETM) featuring internal dynamic variables. Based on Lyapunov stability theory, the robust stability of the closed‐loop system is established, and the existence of a practical sliding motion (PSM) is verified. Moreover, the exclusion of the Zeno phenomenon is rigorously proven. Finally, the effectiveness of the proposed strategy is verified through the simulations on a theory system and damped mass‐spring system.

International Journal of Robust and Nonlinear Control
Chongqing University (CN), Lanzhou University of Technology (CN), First Affiliated Hospital of Gannan Medical University (CN), National Institutes for Food and Drug Control (CN)
National Natural Science Foundation of China, Science and Technology Program of Gansu Province
Reduced inequalities
Openalex Percentile: Top 5%
Distributed Control Multi-Agent Systems
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