Fuzzy SMC for Quantized Nonlinear Stochastic Switching Systems With Semi-Markovian Process and Application

This article is concerned with the issue of quantized sliding-mode control (SMC) design methodology for nonlinear stochastic switching systems subject to semi-Markovian switching parameters, T-S fuzzy strategy, uncertainty, signal quantization, and nonlinearity. Compared with the previous literature...

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Bibliographic Details
Published in:	IEEE transactions on cybernetics Vol. 52; no. 9; pp. 9316 - 9325
Main Authors:	Qi, Wenhai, Yang, Xu, Park, Ju H., Cao, Jinde, Cheng, Jun
Format:	Journal Article
Language:	English
Published:	United States IEEE 01.09.2022 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	Control systems Fuzzy systems Liapunov functions Nonlinearity Quantization (signal) Semi-Markovian process (SMP) semi-Markovian switching parameters signal quantization Sliding mode control Stability criteria Stochastic processes Switched mode power supplies Switches Switching Switching systems T–S fuzzy strategy Uncertainty
ISSN:	2168-2267, 2168-2275, 2168-2275
Online Access:	Get full text
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