IET Control Theory and Applications · 2012 · 65 citations · 11 references
EngineeringMathematicsDynamical SystemsProbability TheoryStochastic ProcessesDiscrete Dynamical SystemsDiscrete-time Stochastic ProcessesJump ProcessesMarkov ProcessesStochastic ControlStochastic StabilityDiscrete-time Markov ProcessesFinite-time StabilityMarkov Jump ProcessesMarkov Jump SystemsState Transition ProbabilitiesTransition ProbabilitiesTransition Probability FunctionsTransition Probability Matrix
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.
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On robust stabilization of Markovian jump systems with uncertain switching probabilities
Junlin Xiong, James Lam, Huijun Gao et al. · Automatica · 2005 · 544 citations