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Delay-dependent stability of two-dimensional Markovian jump systems in the Roesser model with interval time-varying delays
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摘要
This paper is concerned with the problem of stochastic stability analysis of discrete-time two-dimensional Markovian jump systems(2D MJSs) described by the Roesser model. The systems under consideration are subject to interval time-varying and full known transition probabilities of the jumping process/Markov chain. First, new finite-sum inequalities are proposed in this paper. Then giving the Lyapunov-Krasovskii functional(LKF) with time-delay and differencing it via new finite-sum inequalities, delay-dependent stochastic stability conditions are derived in terms of linear matrix inequalities(LMIs). Finally, a numerical example is given to illustrate the effectiveness of the proposed methods.
This paper is concerned with the problem of stochastic stability analysis of discrete-time two-dimensional Markovian jump systems(2D MJSs) described by the Roesser model. The systems under consideration are subject to interval time-varying and full known transition probabilities of the jumping process/Markov chain. First, new finite-sum inequalities are proposed in this paper. Then giving the Lyapunov-Krasovskii functional(LKF) with time-delay and differencing it via new finite-sum inequalities, delay-dependent stochastic stability conditions are derived in terms of linear matrix inequalities(LMIs). Finally, a numerical example is given to illustrate the effectiveness of the proposed methods.
引文
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