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Type: Journal article
Title: Reliable control of fuzzy singularly perturbed systems and its application to electronic circuits
Author: Wang, Y.
Shi, P.
Yan, H.
Citation: IEEE Transactions on Circuits and Systems Part 1: Regular Papers, 2018; 65(10):3519-3528
Publisher: IEEE
Issue Date: 2018
ISSN: 1549-8328
Statement of
Yueying Wang, Peng Shi, Huaicheng Yan
Abstract: In this paper, the reliable control problem of nonlinear singularly perturbed systems subject to random actuator faults is studied. A Takagi-Sugeno fuzzy model is utilized to describe the nonlinear plant, and a Markov chain with partly unknown transition probabilities is adopted to characterize the random behaviors of the actuator faults, in contrast with the existing fault modes in which all the transition probabilities are required to be known. Combining the utilization of a novel fuzzy singular-perturbation-parameter-dependent Markovian Lyapunov function with the introduction of the slack matrix variable, sufficient conditions on the existence of the reliable fuzzy controller are presented, which are dependent on the upper bounds on the time derivatives of membership functions. A search algorithm is provided to obtain the maximum stabilization bound. Moreover, conditions based on single Lyapunov function are also established. The effectiveness and the applicability of the proposed new design technique are verified by an example of an electronic circuit system.
Keywords: Actuators; Markov processes; Lyapunov methods; Takagi-Sugeno model
Rights: © 2018 IEEE. Personal use is permitted, but republication/redistribution requires IEEE permission.
DOI: 10.1109/TCSI.2018.2834481
Grant ID: 61703275
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Appears in Collections:Aurora harvest 3
Electrical and Electronic Engineering publications

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