Adaptive Event-Triggered Output Feedback Fuzzy Control for Nonlinear Networked Systems with Packet Dropouts and Actuator Failure

Zhenxing Zhang; Hongjing Liang; Chengwei Wu; Choon Ki Ahn

doi:10.1109/TFUZZ.2019.2891236

Adaptive Event-Triggered Output Feedback Fuzzy Control for Nonlinear Networked Systems with Packet Dropouts and Actuator Failure

Zhenxing Zhang, Hongjing Liang, Chengwei Wu, Choon Ki Ahn

School of Electrical Engineering

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

105 Citations (Scopus)

Abstract

This paper studies the problem of adaptive event-triggered dynamic output feedback fuzzy control for nonlinear networked control systems. Two crucial factors, packet dropouts and actuator failure, are taken into consideration simultaneously. Takagi-Sugeno fuzzy model is introduced to describe considered systems. The Bernoulli random distribution process is employed to depict the phenomenon of data missing. The actuator failure model is adopted to depict actuator failure. An innovative adaptive event-triggered strategy is built to save computational resource. In the light of Lyapunov stability theory, a fuzzy dynamic output feedback controller is designed to guarantee the stochastic stability and \mathcal {H}-{\infty } performance for considered systems. Finally, simulation results are provided to demonstrate the usefulness of the proposed control strategy.

Original language	English
Article number	8603800
Pages (from-to)	1793-1806
Number of pages	14
Journal	IEEE Transactions on Fuzzy Systems
Volume	27
Issue number	9
DOIs	https://doi.org/10.1109/TFUZZ.2019.2891236
Publication status	Published - 2019 Sep

Keywords

Actuator failure
Adaptive event-triggered mechanism
Fuzzy dynamic output feedback control
Networked control systems (NCSs)
Packet dropouts

ASJC Scopus subject areas

Control and Systems Engineering
Computational Theory and Mathematics
Artificial Intelligence
Applied Mathematics

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10.1109/TFUZZ.2019.2891236

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title = "Adaptive Event-Triggered Output Feedback Fuzzy Control for Nonlinear Networked Systems with Packet Dropouts and Actuator Failure",

abstract = "This paper studies the problem of adaptive event-triggered dynamic output feedback fuzzy control for nonlinear networked control systems. Two crucial factors, packet dropouts and actuator failure, are taken into consideration simultaneously. Takagi-Sugeno fuzzy model is introduced to describe considered systems. The Bernoulli random distribution process is employed to depict the phenomenon of data missing. The actuator failure model is adopted to depict actuator failure. An innovative adaptive event-triggered strategy is built to save computational resource. In the light of Lyapunov stability theory, a fuzzy dynamic output feedback controller is designed to guarantee the stochastic stability and \mathcal {H}-{\infty } performance for considered systems. Finally, simulation results are provided to demonstrate the usefulness of the proposed control strategy.",

keywords = "Actuator failure, Adaptive event-triggered mechanism, Fuzzy dynamic output feedback control, Networked control systems (NCSs), Packet dropouts",

author = "Zhenxing Zhang and Hongjing Liang and Chengwei Wu and Ahn, {Choon Ki}",

note = "Funding Information: Manuscript received May 3, 2018; revised August 13, 2018 and September 19, 2018; accepted October 15, 2018. Date of publication January 7, 2019; date of current version August 30, 2019. This work was supported in part by the National Natural Science Foundation of China under Grant 61703051, in part by the Department of Education of Liaoning Province under Grant LZ2017001, in part by the Ph.D. Start-up Fund of Liaoning Province (20170520124), and in part by the National Research Foundation of Korea through the Ministry of Science, ICT, and Future Planning under Grant NRF-2017R1A1A1A05001325. (Corresponding author: Hongjing Liang and Chengwei Wu.) Z. Zhang is with the School of Mathematics and Physics, Bohai University, Jinzhou 121013, China (e-mail:,zhenxingzhang2016@163.com). Publisher Copyright: {\textcopyright} 1993-2012 IEEE.",

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AU - Ahn, Choon Ki

N1 - Funding Information: Manuscript received May 3, 2018; revised August 13, 2018 and September 19, 2018; accepted October 15, 2018. Date of publication January 7, 2019; date of current version August 30, 2019. This work was supported in part by the National Natural Science Foundation of China under Grant 61703051, in part by the Department of Education of Liaoning Province under Grant LZ2017001, in part by the Ph.D. Start-up Fund of Liaoning Province (20170520124), and in part by the National Research Foundation of Korea through the Ministry of Science, ICT, and Future Planning under Grant NRF-2017R1A1A1A05001325. (Corresponding author: Hongjing Liang and Chengwei Wu.) Z. Zhang is with the School of Mathematics and Physics, Bohai University, Jinzhou 121013, China (e-mail:,zhenxingzhang2016@163.com). Publisher Copyright: © 1993-2012 IEEE.

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AB - This paper studies the problem of adaptive event-triggered dynamic output feedback fuzzy control for nonlinear networked control systems. Two crucial factors, packet dropouts and actuator failure, are taken into consideration simultaneously. Takagi-Sugeno fuzzy model is introduced to describe considered systems. The Bernoulli random distribution process is employed to depict the phenomenon of data missing. The actuator failure model is adopted to depict actuator failure. An innovative adaptive event-triggered strategy is built to save computational resource. In the light of Lyapunov stability theory, a fuzzy dynamic output feedback controller is designed to guarantee the stochastic stability and \mathcal {H}-{\infty } performance for considered systems. Finally, simulation results are provided to demonstrate the usefulness of the proposed control strategy.

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Adaptive Event-Triggered Output Feedback Fuzzy Control for Nonlinear Networked Systems with Packet Dropouts and Actuator Failure

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