Stability and Bounded Real Lemmas of Discrete-Time MJLSs with the Markov Chain on a Borel Space
Chunjie Xiao, Ting Hou, Weihai Zhang

TL;DR
This paper extends stability analysis and bounded real lemmas for discrete-time Markov jump linear systems with uncountable state spaces, providing unified spectral criteria and Riccati equation conditions for stability and performance.
Contribution
It generalizes existing results to uncountable Markov chain spaces and offers new spectral and Riccati-based criteria for stability and $H_{ extinfty}$ performance analysis.
Findings
Spectral criteria for exponential stability types.
Unified approach for stability and performance analysis.
Existence conditions for Riccati solutions in stability assessment.
Abstract
In this paper, exponential stability of discrete-time Markov jump linear systems (MJLSs) with the Markov chain on a Borel space is studied, and bounded real lemmas (BRLs) are given. The work generalizes the results from the previous literature that considered only the Markov chain taking values in a countable set to the scenario of an uncountable set and provides unified approaches for describing exponential stability and performance of MJLSs. This paper covers two kinds of exponential stabilities: one is exponential mean-square stability with conditioning (EMSSy-C), and the other is exponential mean-square stability (EMSSy). First, based on the infinite-dimensional operator theory, the equivalent conditions for determining these two kinds of stabilities are shown respectively by the exponentially stable evolutions generated by the…
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Taxonomy
TopicsElevator Systems and Control · Petri Nets in System Modeling · Traffic control and management
