Adaptive event-triggered dynamic output feedback H∞ control for networked T-S fuzzy systems

This paper investigates the design problem of fuzzy dynamic output feedback $H_\infty $ controller for nonlinear networked systems via mismatched membership functions and adaptive event-triggered (AET) mechanism. Firstly, an AET mechanism is introduced to save communication resources, which causes t...

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Main Authors: Yameng Hu, Chong Lin
Format: Article
Language:English
Published: Taylor & Francis Group 2021-05-01
Series:Systems Science & Control Engineering
Subjects:
Online Access:http://dx.doi.org/10.1080/21642583.2020.1836527
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spelling doaj-d7f1ed8f47d6463e8f190ff96145d7002021-05-06T16:05:14ZengTaylor & Francis GroupSystems Science & Control Engineering2164-25832021-05-019S2384710.1080/21642583.2020.18365271836527Adaptive event-triggered dynamic output feedback H∞ control for networked T-S fuzzy systemsYameng Hu0Chong Lin1Institute of Complexity Science, Qingdao UniversityInstitute of Complexity Science, Qingdao UniversityThis paper investigates the design problem of fuzzy dynamic output feedback $H_\infty $ controller for nonlinear networked systems via mismatched membership functions and adaptive event-triggered (AET) mechanism. Firstly, an AET mechanism is introduced to save communication resources, which causes the controller and the original system's premise variables to be asynchronous. Then, considering the influence of AET and mismatched membership functions, a model of fuzzy control system is established. In addition, utilizing the Lyapunov-Krasovskii(L-K) functional, sufficient conditions for the global exponential stability of the closed-loop system with $H_\infty $ performance are derived. Besides, the controller parameters and event-triggered (ET) weight matrix are solved by a set of linear matrix inequalities (LMIs). Finally, an example is given to demonstrate the effectiveness of the proposed control method.http://dx.doi.org/10.1080/21642583.2020.1836527networked t-s fuzzy systemsadaptive event-triggered mechanismdynamic output feedback $h_\infty $ control
collection DOAJ
language English
format Article
sources DOAJ
author Yameng Hu
Chong Lin
spellingShingle Yameng Hu
Chong Lin
Adaptive event-triggered dynamic output feedback H∞ control for networked T-S fuzzy systems
Systems Science & Control Engineering
networked t-s fuzzy systems
adaptive event-triggered mechanism
dynamic output feedback $h_\infty $ control
author_facet Yameng Hu
Chong Lin
author_sort Yameng Hu
title Adaptive event-triggered dynamic output feedback H∞ control for networked T-S fuzzy systems
title_short Adaptive event-triggered dynamic output feedback H∞ control for networked T-S fuzzy systems
title_full Adaptive event-triggered dynamic output feedback H∞ control for networked T-S fuzzy systems
title_fullStr Adaptive event-triggered dynamic output feedback H∞ control for networked T-S fuzzy systems
title_full_unstemmed Adaptive event-triggered dynamic output feedback H∞ control for networked T-S fuzzy systems
title_sort adaptive event-triggered dynamic output feedback h∞ control for networked t-s fuzzy systems
publisher Taylor & Francis Group
series Systems Science & Control Engineering
issn 2164-2583
publishDate 2021-05-01
description This paper investigates the design problem of fuzzy dynamic output feedback $H_\infty $ controller for nonlinear networked systems via mismatched membership functions and adaptive event-triggered (AET) mechanism. Firstly, an AET mechanism is introduced to save communication resources, which causes the controller and the original system's premise variables to be asynchronous. Then, considering the influence of AET and mismatched membership functions, a model of fuzzy control system is established. In addition, utilizing the Lyapunov-Krasovskii(L-K) functional, sufficient conditions for the global exponential stability of the closed-loop system with $H_\infty $ performance are derived. Besides, the controller parameters and event-triggered (ET) weight matrix are solved by a set of linear matrix inequalities (LMIs). Finally, an example is given to demonstrate the effectiveness of the proposed control method.
topic networked t-s fuzzy systems
adaptive event-triggered mechanism
dynamic output feedback $h_\infty $ control
url http://dx.doi.org/10.1080/21642583.2020.1836527
work_keys_str_mv AT yamenghu adaptiveeventtriggereddynamicoutputfeedbackhcontrolfornetworkedtsfuzzysystems
AT chonglin adaptiveeventtriggereddynamicoutputfeedbackhcontrolfornetworkedtsfuzzysystems
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