Analysis and Design of Networked Control Systems with Random Markovian Delays and Uncertain Transition Probabilities

This paper focuses on the stability issue of discrete-time networked control systems with random Markovian delays and uncertain transition probabilities, wherein the random time delays exist in the sensor-to-controller and controller-to-actuator. The resulting closed-loop system is modeled as a disc...

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Main Authors: Li Qiu, Chengxiang Liu, Fengqi Yao, Gang Xu
Format: Article
Language:English
Published: Wiley 2014-01-01
Series:Abstract and Applied Analysis
Online Access:http://dx.doi.org/10.1155/2014/486978
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author Li Qiu
Chengxiang Liu
Fengqi Yao
Gang Xu
author_facet Li Qiu
Chengxiang Liu
Fengqi Yao
Gang Xu
author_sort Li Qiu
collection DOAJ
description This paper focuses on the stability issue of discrete-time networked control systems with random Markovian delays and uncertain transition probabilities, wherein the random time delays exist in the sensor-to-controller and controller-to-actuator. The resulting closed-loop system is modeled as a discrete-time Markovian delays system governed by two Markov chains. Using Lyapunov stability theory, a result is established on the Markovian structure and ensured that the closed-loop system is stochastically stable. A simulation example illustrates the validity and feasibility of the results.
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institution Kabale University
issn 1085-3375
1687-0409
language English
publishDate 2014-01-01
publisher Wiley
record_format Article
series Abstract and Applied Analysis
spelling doaj-art-e9cfdd24287c476ca7467d975a61a8592025-02-03T01:33:17ZengWileyAbstract and Applied Analysis1085-33751687-04092014-01-01201410.1155/2014/486978486978Analysis and Design of Networked Control Systems with Random Markovian Delays and Uncertain Transition ProbabilitiesLi Qiu0Chengxiang Liu1Fengqi Yao2Gang Xu3Shenzhen Key Laboratory of Urban Rail Transit, College of Mechatronics and Control Engineering, Shenzhen University, Shenzhen 518060, ChinaShenzhen Key Laboratory of Laser Engineering, College of Electronic Science and Technology, Shenzhen University, Shenzhen 518060, ChinaSchool of Electrical Engineering and Information, Anhui University of Technology, Ma'anshan 243000, ChinaShenzhen Key Laboratory of Urban Rail Transit, College of Mechatronics and Control Engineering, Shenzhen University, Shenzhen 518060, ChinaThis paper focuses on the stability issue of discrete-time networked control systems with random Markovian delays and uncertain transition probabilities, wherein the random time delays exist in the sensor-to-controller and controller-to-actuator. The resulting closed-loop system is modeled as a discrete-time Markovian delays system governed by two Markov chains. Using Lyapunov stability theory, a result is established on the Markovian structure and ensured that the closed-loop system is stochastically stable. A simulation example illustrates the validity and feasibility of the results.http://dx.doi.org/10.1155/2014/486978
spellingShingle Li Qiu
Chengxiang Liu
Fengqi Yao
Gang Xu
Analysis and Design of Networked Control Systems with Random Markovian Delays and Uncertain Transition Probabilities
Abstract and Applied Analysis
title Analysis and Design of Networked Control Systems with Random Markovian Delays and Uncertain Transition Probabilities
title_full Analysis and Design of Networked Control Systems with Random Markovian Delays and Uncertain Transition Probabilities
title_fullStr Analysis and Design of Networked Control Systems with Random Markovian Delays and Uncertain Transition Probabilities
title_full_unstemmed Analysis and Design of Networked Control Systems with Random Markovian Delays and Uncertain Transition Probabilities
title_short Analysis and Design of Networked Control Systems with Random Markovian Delays and Uncertain Transition Probabilities
title_sort analysis and design of networked control systems with random markovian delays and uncertain transition probabilities
url http://dx.doi.org/10.1155/2014/486978
work_keys_str_mv AT liqiu analysisanddesignofnetworkedcontrolsystemswithrandommarkoviandelaysanduncertaintransitionprobabilities
AT chengxiangliu analysisanddesignofnetworkedcontrolsystemswithrandommarkoviandelaysanduncertaintransitionprobabilities
AT fengqiyao analysisanddesignofnetworkedcontrolsystemswithrandommarkoviandelaysanduncertaintransitionprobabilities
AT gangxu analysisanddesignofnetworkedcontrolsystemswithrandommarkoviandelaysanduncertaintransitionprobabilities