Fuzzy-Model-Based Control for Markov Switching Singularly Perturbed Systems with the Stochastic Communication Protocol

This work is concerned with the H∞ control for Markov switching singularly perturbed systems with the stochastic communication protocol. To coordinate the data transmission and save the bandwidth usage, the stochastic communication protocol with a compensator is applied to schedule the information e...

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Main Authors: Zhiguo An, Qijuan Chen, Junxiang Liu, Le Luan, Yong Wang, Kai Zhou, Wenxiong Mo, Huihong Huang
Format: Article
Language:English
Published: Hindawi Limited 2021-01-01
Series:Mathematical Problems in Engineering
Online Access:http://dx.doi.org/10.1155/2021/6690729
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spelling doaj-798bdbaf1a174aaeab8df7e14ad0b1c32021-03-01T01:13:58ZengHindawi LimitedMathematical Problems in Engineering1563-51472021-01-01202110.1155/2021/6690729Fuzzy-Model-Based Control for Markov Switching Singularly Perturbed Systems with the Stochastic Communication ProtocolZhiguo An0Qijuan Chen1Junxiang Liu2Le Luan3Yong Wang4Kai Zhou5Wenxiong Mo6Huihong Huang7School of Power and Mechanical EngineeringSchool of Power and Mechanical EngineeringGuangzhou Power Supply BureauGuangzhou Power Supply BureauGuangzhou Power Supply BureauGuangzhou Power Supply BureauGuangzhou Power Supply BureauGuangzhou Power Supply BureauThis work is concerned with the H∞ control for Markov switching singularly perturbed systems with the stochastic communication protocol. To coordinate the data transmission and save the bandwidth usage, the stochastic communication protocol with a compensator is applied to schedule the information exchange. The goal of this work is to design a joint-Markov-process-based controller such that the resulting system is stochastically stable with prescribed performance. Based on the Lyapunov functional technique, a sufficient condition is derived to ensure the existence of the achieved controller. Finally, the effectiveness and correctness of the developed results are verified by the simulation example.http://dx.doi.org/10.1155/2021/6690729
collection DOAJ
language English
format Article
sources DOAJ
author Zhiguo An
Qijuan Chen
Junxiang Liu
Le Luan
Yong Wang
Kai Zhou
Wenxiong Mo
Huihong Huang
spellingShingle Zhiguo An
Qijuan Chen
Junxiang Liu
Le Luan
Yong Wang
Kai Zhou
Wenxiong Mo
Huihong Huang
Fuzzy-Model-Based Control for Markov Switching Singularly Perturbed Systems with the Stochastic Communication Protocol
Mathematical Problems in Engineering
author_facet Zhiguo An
Qijuan Chen
Junxiang Liu
Le Luan
Yong Wang
Kai Zhou
Wenxiong Mo
Huihong Huang
author_sort Zhiguo An
title Fuzzy-Model-Based Control for Markov Switching Singularly Perturbed Systems with the Stochastic Communication Protocol
title_short Fuzzy-Model-Based Control for Markov Switching Singularly Perturbed Systems with the Stochastic Communication Protocol
title_full Fuzzy-Model-Based Control for Markov Switching Singularly Perturbed Systems with the Stochastic Communication Protocol
title_fullStr Fuzzy-Model-Based Control for Markov Switching Singularly Perturbed Systems with the Stochastic Communication Protocol
title_full_unstemmed Fuzzy-Model-Based Control for Markov Switching Singularly Perturbed Systems with the Stochastic Communication Protocol
title_sort fuzzy-model-based control for markov switching singularly perturbed systems with the stochastic communication protocol
publisher Hindawi Limited
series Mathematical Problems in Engineering
issn 1563-5147
publishDate 2021-01-01
description This work is concerned with the H∞ control for Markov switching singularly perturbed systems with the stochastic communication protocol. To coordinate the data transmission and save the bandwidth usage, the stochastic communication protocol with a compensator is applied to schedule the information exchange. The goal of this work is to design a joint-Markov-process-based controller such that the resulting system is stochastically stable with prescribed performance. Based on the Lyapunov functional technique, a sufficient condition is derived to ensure the existence of the achieved controller. Finally, the effectiveness and correctness of the developed results are verified by the simulation example.
url http://dx.doi.org/10.1155/2021/6690729
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