Robust Sliding Mode Control for T-S Fuzzy Systems via Quantized State Feedback

This paper is concerned with the robust sliding mode control (SMC) problem for a class of T-S fuzzy systems subject to both matched and mismatched uncertainties. Different from the conventional T-S fuzzy SMC design approach, the quantized states rather than states themselves, are utilized for the co...

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Bibliographic Details
Published inIEEE transactions on fuzzy systems Vol. 26; no. 4; pp. 2261 - 2272
Main Authors Xue, Yanmei, Zheng, Bo-Chao, Yu, Xinghuo
Format Journal Article
LanguageEnglish
Published New York IEEE 01.08.2018
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects
Control design
Fuzzy control
Fuzzy systems
Quantization (signal)
Robust control
Robustness
Robustness (mathematics)
Sliding mode control
sliding mode control (SMC)
State feedback
state quantization
Symmetric matrices
System effectiveness
T-S fuzzy systems
Uncertainty
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Summary:This paper is concerned with the robust sliding mode control (SMC) problem for a class of T-S fuzzy systems subject to both matched and mismatched uncertainties. Different from the conventional T-S fuzzy SMC design approach, the quantized states rather than states themselves, are utilized for the control design. By the combination of the proposed zooming-out/zooming-in adjustment policy of the quantizer sensitivity, the quantized state feedback fuzzy sliding mode control scheme is developed to ensure the stabilization of the T-S fuzzy systems. Finally, some simulation results are presented to illustrate the effectiveness of the proposed approach.
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ISSN:1063-6706
1941-0034
DOI:10.1109/TFUZZ.2017.2771467