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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2021-01-01
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Series: | Mathematical Problems in Engineering |
Online Access: | http://dx.doi.org/10.1155/2021/6690729 |
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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 |
work_keys_str_mv |
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1714842469945835520 |