Stochastic stability of semi-Markovian jump systems with mode-dependent delays

SUMMARYSemi‐Markovian jump systems, due to the relaxed conditions on the stochastic process, and its transition rates are time varying, can be used to describe a larger class of dynamical systems than conventional full Markovian jump systems. In this paper, the problem of stochastic stability for a...

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Published inInternational journal of robust and nonlinear control Vol. 24; no. 18; pp. 3317 - 3330
Main Authors Li, Fanbiao, Wu, Ligang, Shi, Peng
Format Journal Article
LanguageEnglish
Published Bognor Regis Blackwell Publishing Ltd 01.12.2014
Wiley Subscription Services, Inc
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ISSN1049-8923
1099-1239
DOI10.1002/rnc.3057

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Abstract SUMMARYSemi‐Markovian jump systems, due to the relaxed conditions on the stochastic process, and its transition rates are time varying, can be used to describe a larger class of dynamical systems than conventional full Markovian jump systems. In this paper, the problem of stochastic stability for a class of semi‐Markovian systems with mode‐dependent time‐variant delays is investigated. By Lyapunov function approach, together with a piecewise analysis method, a sufficient condition is proposed to guarantee the stochastic stability of the underlying systems. As more time‐delay information is used, our results are much less conservative than some existing ones in literature. Finally, two examples are given to show the effectiveness and advantages of the proposed techniques. Copyright © 2013 John Wiley & Sons, Ltd.
AbstractList Semi‐Markovian jump systems, due to the relaxed conditions on the stochastic process, and its transition rates are time varying, can be used to describe a larger class of dynamical systems than conventional full Markovian jump systems. In this paper, the problem of stochastic stability for a class of semi‐Markovian systems with mode‐dependent time‐variant delays is investigated. By Lyapunov function approach, together with a piecewise analysis method, a sufficient condition is proposed to guarantee the stochastic stability of the underlying systems. As more time‐delay information is used, our results are much less conservative than some existing ones in literature. Finally, two examples are given to show the effectiveness and advantages of the proposed techniques. Copyright © 2013 John Wiley & Sons, Ltd.
SUMMARY Semi-Markovian jump systems, due to the relaxed conditions on the stochastic process, and its transition rates are time varying, can be used to describe a larger class of dynamical systems than conventional full Markovian jump systems. In this paper, the problem of stochastic stability for a class of semi-Markovian systems with mode-dependent time-variant delays is investigated. By Lyapunov function approach, together with a piecewise analysis method, a sufficient condition is proposed to guarantee the stochastic stability of the underlying systems. As more time-delay information is used, our results are much less conservative than some existing ones in literature. Finally, two examples are given to show the effectiveness and advantages of the proposed techniques. Copyright © 2013 John Wiley & Sons, Ltd.
Semi-Markovian jump systems, due to the relaxed conditions on the stochastic process, and its transition rates are time varying, can be used to describe a larger class of dynamical systems than conventional full Markovian jump systems. In this paper, the problem of stochastic stability for a class of semi-Markovian systems with mode-dependent time-variant delays is investigated. By Lyapunov function approach, together with a piecewise analysis method, a sufficient condition is proposed to guarantee the stochastic stability of the underlying systems. As more time-delay information is used, our results are much less conservative than some existing ones in literature. Finally, two examples are given to show the effectiveness and advantages of the proposed techniques. Copyright copyright 2013 John Wiley & Sons, Ltd.
SUMMARYSemi‐Markovian jump systems, due to the relaxed conditions on the stochastic process, and its transition rates are time varying, can be used to describe a larger class of dynamical systems than conventional full Markovian jump systems. In this paper, the problem of stochastic stability for a class of semi‐Markovian systems with mode‐dependent time‐variant delays is investigated. By Lyapunov function approach, together with a piecewise analysis method, a sufficient condition is proposed to guarantee the stochastic stability of the underlying systems. As more time‐delay information is used, our results are much less conservative than some existing ones in literature. Finally, two examples are given to show the effectiveness and advantages of the proposed techniques. Copyright © 2013 John Wiley & Sons, Ltd.
Author Shi, Peng
Li, Fanbiao
Wu, Ligang
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  email: Correspondence to: Ligang Wu, Space Control and Inertial Technology Research Center, Harbin Institute of Technology, Harbin, 150001, China., ligangwu@hit.edu.cn
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Ji YD, Chizeck HJ. Controllability, stabilizability, and continuous-time Markovian jump linear quadratic control. IEEE Transactions on Automatic Control 1990; 35(7):777-788.
Liu Q, Wang W, Wang D. New results on model reduction for discrete-time switched systems with time delay. International Journal of Innovative Computing, Information and Control 2012; 8(5(A)):3431-3440.
Karan M, Shi P, Kaya Y. Transition probability bounds for the stochastic stability robustness of continuous- and discrete-time Markovian jump linear systems. Automatica 2006; 42(12):2159-2168.
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Li F (e_1_2_7_16_1) 2013; 9
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SSID ssj0009924
Score 2.4801588
Snippet SUMMARYSemi‐Markovian jump systems, due to the relaxed conditions on the stochastic process, and its transition rates are time varying, can be used to describe...
Semi‐Markovian jump systems, due to the relaxed conditions on the stochastic process, and its transition rates are time varying, can be used to describe a...
SUMMARY Semi-Markovian jump systems, due to the relaxed conditions on the stochastic process, and its transition rates are time varying, can be used to...
Semi-Markovian jump systems, due to the relaxed conditions on the stochastic process, and its transition rates are time varying, can be used to describe a...
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SubjectTerms Delay
Dynamical systems
Lyapunov functions
Markov processes
mode-dependent time-delays
Nonlinear dynamics
semi-Markovian jump systems
Stability
Stochastic processes
stochastic stability
Stochasticity
Title Stochastic stability of semi-Markovian jump systems with mode-dependent delays
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https://onlinelibrary.wiley.com/doi/abs/10.1002%2Frnc.3057
https://www.proquest.com/docview/1625291457
https://www.proquest.com/docview/1642278641
Volume 24
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