Observer‐Based Adaptive Event‐Triggered Fault‐Tolerant Control of Interval Type‐2 T‐S Fuzzy Large‐Scale Systems With Mixed Delays

ABSTRACT This study investigates the observer‐based adaptive event‐triggered fault‐tolerant control of interval Type‐2 T‐S fuzzy systems with mixed delays. It provides a feasible and integrated solution for systems simultaneously facing complex challenges such as unmeasurable states, bandwidth constraints, mixed delays, and actuator faults. First, an observer is designed to address the problem of unmeasurable system states. An adaptive event‐triggered mechanism is incorporated into the system to further reduce communication and update frequency. Then, a sampled‐state‐based fuzzy decentralized fault‐tolerant control law is developed, and a new Lyapunov functional is constructed to derive sufficient conditions for asymptotic stability under mixed delays and actuator faults. Finally, numerical simulations and comparative experiments are provided to validate the effectiveness of the proposed scheme.

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Publication Details

Journal
Asian Journal of Control
Published
2026-07-23
DOI
https://doi.org/10.1002/asjc.70218
Primary Topic
Stability and Control of Uncertain Systems
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
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article

Observer‐Based Adaptive Event‐Triggered Fault‐Tolerant Control of Interval Type‐2 T‐S Fuzzy Large‐Scale Systems With Mixed Delays

Yuan‐Xin Li, Jinxia Wu, Yahui Geng, Yi-Xiang Wang
Asian Journal of Control
Stability and Control of Uncertain Systems
article

Observer‐Based Adaptive Event‐Triggered Fault‐Tolerant Control of Interval Type‐2 T‐S Fuzzy Large‐Scale Systems With Mixed Delays

Yuan‐Xin Li, Jinxia Wu, Yahui Geng, Yi-Xiang Wang
article en

Abstract

ABSTRACT This study investigates the observer‐based adaptive event‐triggered fault‐tolerant control of interval Type‐2 T‐S fuzzy systems with mixed delays. It provides a feasible and integrated solution for systems simultaneously facing complex challenges such as unmeasurable states, bandwidth constraints, mixed delays, and actuator faults. First, an observer is designed to address the problem of unmeasurable system states. An adaptive event‐triggered mechanism is incorporated into the system to further reduce communication and update frequency. Then, a sampled‐state‐based fuzzy decentralized fault‐tolerant control law is developed, and a new Lyapunov functional is constructed to derive sufficient conditions for asymptotic stability under mixed delays and actuator faults. Finally, numerical simulations and comparative experiments are provided to validate the effectiveness of the proposed scheme.

Asian Journal of Control
Liaoning University of Technology (CN)
National Natural Science Foundation of China
Peace, Justice and strong institutions
Openalex Percentile: Top 11%
Stability and Control of Uncertain Systems
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