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Optimal Control Applications and Methods
Article . 2018 . Peer-reviewed
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zbMATH Open
Article . 2019
Data sources: zbMATH Open
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Mean square stabilization of discrete‐time switching Markov jump linear systems

Mean square stabilization of discrete-time switching Markov jump linear systems
Authors: Haibo Qu; Jialei Hu; Yang Song; Taicheng Yang;

Mean square stabilization of discrete‐time switching Markov jump linear systems

Abstract

SummaryThis paper considers a special class of hybrid system called switching Markov jump linear system. The system transition is governed by two rules. One is Markov chain and the other is a deterministic rule. Furthermore, the transition probability of the Markov chain is not only piecewise but also orchestrated by a deterministic switching rule. In this paper, the mean square stability of the systems is studied when the deterministic switching is subject to two different dwell time conditions, ie, having a lower bound and having both lower and high bounds. The main contributions of this paper are two relevant stability theorems for the systems under study. A numerical example is provided to demonstrate the theoretical results.

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Keywords

Markovain chain, mean square stability, deterministic switching, switching Markov jump linear system, Applications of Markov chains and discrete-time Markov processes on general state spaces (social mobility, learning theory, industrial processes, etc.), Discrete-time control/observation systems, dwell time, Linear systems in control theory, Attainable sets, reachability, Control/observation systems governed by functional relations other than differential equations (such as hybrid and switching systems), Stochastic stability in control theory, Jump processes

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    influence
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
10
Top 10%
Average
Average
Green
bronze