Finite-time stochastic stability and stabilisation of linear discrete-time Markovian jump systems with partly unknown transition probabilities

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Finite-time stochastic stability and stabilisation of linear discrete-time Markovian jump systems with partly unknown transition probabilities

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This study deals with the problems of finite-time stochastic stability and stabilisation with partly unknown transition probabilities for linear discrete-time Markovian jump systems (MJP). The definition of finite-time stochastic stability for discrete-time MJP is firstly given. Based on it, a sufficient condition is proposed to guarantee that the state of the system does not exceed a certain threshold in mean-square sense during a specified time interval. The above result is then extended to the finite-time stochastic stabilisation case. By introducing some free-weighting matrices, the proposed method leads to less conservatism compared with the existing ones. Two numerical examples are given to illustrate the effectiveness of the proposed methods.

Inspec keywords: linear systems; mean square error methods; stochastic systems; matrix algebra; stability; discrete time systems; probability

Other keywords: partly unknown transition probabilities; discrete-time MJP; mean-square sense; linear discrete-time Markovian jump system stabilization; free-weighting matrices; finite-time stochastic stability

Subjects: Interpolation and function approximation (numerical analysis); Markov processes; Discrete control systems; Stability in control theory; Linear algebra (numerical analysis); Time-varying control systems

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