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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Summary: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, the quantized control input is first considered in studying T-S fuzzy stochastic switching systems with a semi-Markovian process. A mode-independent sliding surface is adopted to avoid the potential repetitive jumping effects. Then, by means of the Lyapunov function, stochastic stability criteria are proposed to be dependent of sojourn time for the corresponding sliding-mode dynamics. Furthermore, the fuzzy-model-based SMC law is proposed to ensure the finite-time reachability of the sliding-mode dynamics. Finally, an application example of a modified series dc motor model is provided to demonstrate the effectiveness of the theoretical findings.
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ISSN:2168-2267
2168-2275
2168-2275
DOI:10.1109/TCYB.2021.3069423