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Stability analysis for semi-Markovian switched stochastic systems with asynchronously impulsive jumps
by
Mu, Xiaowu
, Hu, Zenghui
in
Brownian motion
/ Computer Science
/ Euclidean space
/ Impulses
/ Information Systems and Communication Service
/ Liapunov functions
/ Markov analysis
/ Markov chains
/ Research Paper
/ Stability analysis
/ Stochastic models
/ Stochastic systems
/ Switches
/ Systems stability
2021
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Stability analysis for semi-Markovian switched stochastic systems with asynchronously impulsive jumps
by
Mu, Xiaowu
, Hu, Zenghui
in
Brownian motion
/ Computer Science
/ Euclidean space
/ Impulses
/ Information Systems and Communication Service
/ Liapunov functions
/ Markov analysis
/ Markov chains
/ Research Paper
/ Stability analysis
/ Stochastic models
/ Stochastic systems
/ Switches
/ Systems stability
2021
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Stability analysis for semi-Markovian switched stochastic systems with asynchronously impulsive jumps
by
Mu, Xiaowu
, Hu, Zenghui
in
Brownian motion
/ Computer Science
/ Euclidean space
/ Impulses
/ Information Systems and Communication Service
/ Liapunov functions
/ Markov analysis
/ Markov chains
/ Research Paper
/ Stability analysis
/ Stochastic models
/ Stochastic systems
/ Switches
/ Systems stability
2021
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Stability analysis for semi-Markovian switched stochastic systems with asynchronously impulsive jumps
Journal Article
Stability analysis for semi-Markovian switched stochastic systems with asynchronously impulsive jumps
2021
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Overview
The almost surely (a.s.) exponential stability is studied for semi-Markovian switched stochastic systems with randomly impulsive jumps. We start from the case that switches and impulses occur synchronously, in which the impulsive switching signal is a semi-Markovian process. For the case that switches and impulses occur asynchronously, the impulsive arrival time sequence and the types of jump maps are driven by a renewal process and a Markov chain, respectively. By applying the multiple Lyapunov function approach, sufficient conditions of exponential stability a.s. are obtained based upon the ergodic property of semi-Markovian process. The validity of the proposed theoretical results is demonstrated by a numerical example.
Publisher
Science China Press,Springer Nature B.V
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