Multiple interval delay-dependent finite-time control of fuzzy stochastic systems

This work is concerned with multiple interval delay-dependent stochastic finite-time boundedness as well as input-output finite-time mean square stabilization for fuzzy plants against state constraints as well as input constraints. Nonlinear dynamics, intermittent actuator faults, exogenous disturba...

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Bibliographic Details
Published in:Information sciences 2023-10, Vol.644, p.119254, Article 119254
Main Authors: Sun, Shaoxin, Su, Xiaojie, Song, Weizhao, Liu, Chong
Format: Article
Language:English
Subjects:
Fault-tolerant control
Input-output finite-time mean square stabilization
Intermittent faults
Multiple interval time-varying delays
Stochastic finite-time boundedness
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Summary:This work is concerned with multiple interval delay-dependent stochastic finite-time boundedness as well as input-output finite-time mean square stabilization for fuzzy plants against state constraints as well as input constraints. Nonlinear dynamics, intermittent actuator faults, exogenous disturbances, model uncertainties and intermittent sensor faults appear in the multiplicative form in these systems. The switching between the faulty and healthy conditions is described via semi-Markov chain. First, a semi-Markovian fault-tolerant controller is researched. Next, the closed-loop model is gathered. The issue of robust stochastic finite-time boundedness as well as input-output finite-time mean square stabilization against H∞ performance is realized via fuzzy stochastic Lyapunov function. Meanwhile, sufficient conditions are presented with linear matrix inequalities. At last, this validity of this approach in this paper is proved by two examples.
ISSN:0020-0255
DOI:10.1016/j.ins.2023.119254