TY - JOUR
T1 - Adaptive Event-Triggered Output Feedback Fuzzy Control for Nonlinear Networked Systems with Packet Dropouts and Actuator Failure
AU - Zhang, Zhenxing
AU - Liang, Hongjing
AU - Wu, Chengwei
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).
PY - 2019/9
Y1 - 2019/9
N2 - 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.
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.
KW - Actuator failure
KW - Adaptive event-triggered mechanism
KW - Fuzzy dynamic output feedback control
KW - Networked control systems (NCSs)
KW - Packet dropouts
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U2 - 10.1109/TFUZZ.2019.2891236
DO - 10.1109/TFUZZ.2019.2891236
M3 - Article
AN - SCOPUS:85059652086
VL - 27
SP - 1793
EP - 1806
JO - IEEE Transactions on Fuzzy Systems
JF - IEEE Transactions on Fuzzy Systems
SN - 1063-6706
IS - 9
M1 - 8603800
ER -