Integral‐based event‐triggered reachable set estimation for networked switched fuzzy systems

Abstract This paper investigates the reachable set estimation problem for networked T‐S fuzzy switched systems by utilizing the integral‐based event‐triggering scheme. Different from the existing results, the proposed controller design method firstly integrates the integral‐based event‐trigger mechanism for T‐S fuzzy switched systems, which not only reduces the transmission of communication data but also ensures that the state trajectories can be driven to the reachable set. Then, the event‐trigger parameters are derived and the controller gains are obtained. Finally, the superiority and effectiveness of the derived results are verified through a simulation example.

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Publication Details

Journal
Asian Journal of Control
Published
2025-02-18
DOI
https://doi.org/10.1002/asjc.3603
Primary Topic
Fault Detection and Control Systems
Type
article
Field-Weighted Citation Impact
0.00

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Controls
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article

Integral‐based event‐triggered reachable set estimation for networked switched fuzzy systems

Kaibo Shi, Hui Gao, Nana Jin, Ying Zhou et al.
Asian Journal of Control
Fault Detection and Control Systems
article

Integral‐based event‐triggered reachable set estimation for networked switched fuzzy systems

Kaibo Shi, Hui Gao, Nana Jin, Ying Zhou, Binrui Wang
article en

Abstract

Abstract This paper investigates the reachable set estimation problem for networked T‐S fuzzy switched systems by utilizing the integral‐based event‐triggering scheme. Different from the existing results, the proposed controller design method firstly integrates the integral‐based event‐trigger mechanism for T‐S fuzzy switched systems, which not only reduces the transmission of communication data but also ensures that the state trajectories can be driven to the reachable set. Then, the event‐trigger parameters are derived and the controller gains are obtained. Finally, the superiority and effectiveness of the derived results are verified through a simulation example.

Asian Journal of ControlVol. 27(5)
Chengdu University of Information Technology (CN), Dalian University of Technology (CN), University of Jinan (CN), Qilu Normal University (CN), Chengdu University (CN), China Jiliang University (CN)
National Natural Science Foundation of China, Natural Science Foundation of Shandong Province
Openalex Percentile: Top 97%
Fault Detection and Control Systems
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