Robust sliding mode control for T-S fuzzy systems via quantized state feedback

Xue, Y, Zheng, B and Yu, X 2018, 'Robust sliding mode control for T-S fuzzy systems via quantized state feedback', IEEE Transactions on Fuzzy Systems, vol. 26, no. 4, pp. 2261-2272.


Document type: Journal Article
Collection: Journal Articles

Title Robust sliding mode control for T-S fuzzy systems via quantized state feedback
Author(s) Xue, Y
Zheng, B
Yu, X
Year 2018
Journal name IEEE Transactions on Fuzzy Systems
Volume number 26
Issue number 4
Start page 2261
End page 2272
Total pages 12
Publisher IEEE
Abstract 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.
Subject Artificial Intelligence and Image Processing not elsewhere classified
Keyword(s) Robust control
sliding mode control (SMC)
state quantization
T-S fuzzy systems
DOI - identifier 10.1109/TFUZZ.2017.2771467
Copyright notice © 2017 IEEE
ISSN 1063-6706
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