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Neural Computing and Applications
Published in: Neural Computing and Applications 12/2021

12-11-2020 | Original Article

Multiple delay-dependent finite-time boundedness and input–output finite-time mean square stabilization of uncertain semi-Markovian jump systems with input constraint

Authors: Yongheng Pang, Xin Wang, Ting Li, Shuowei Jin, Shaoxin Sun

Published in: Neural Computing and Applications | Issue 12/2021

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Abstract

This study is concerned with the problem of finite-time fault-tolerant control for uncertain semi-Markovian jump systems with input constraint and multiple time delays. There exist nonlinear functions, exogenous disturbances and measurement noise in these nonlinear systems. First, a dynamic output feedback controller is constructed for the uncertain semi-Markovian jump systems. A closed-loop system is earned. Next, sufficient stability conditions of the closed-loop system are obtained via stochastic Lyapunov function. Not only finite-time boundedness but also input-output finite-time mean square stabilization is achieved. This study is the first time to study. Finally, an example is provided to prove the novelty of the approach proposed in this paper.
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Metadata
Title
Multiple delay-dependent finite-time boundedness and input–output finite-time mean square stabilization of uncertain semi-Markovian jump systems with input constraint
Authors
Yongheng Pang
Xin Wang
Ting Li
Shuowei Jin
Shaoxin Sun
Publication date
12-11-2020
Publisher
Springer London
Published in
Neural Computing and Applications / Issue 12/2021
Print ISSN: 0941-0643
Electronic ISSN: 1433-3058
DOI
https://doi.org/10.1007/s00521-020-05423-3

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