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State Estimation for Discrete-Time Markov Jump Linear Systems Based on Orthogonal Projective Theorem
Wei Liu,Huaguang Zhang,Zhanshan Wang,Qiuye Sun 제어·로봇·시스템학회 2012 International Journal of Control, Automation, and Vol.10 No.5
In this paper, state estimation problem for discrete-time Markov jump linear systems is considered. Based on orthogonal projective theorem, a novel suboptimal algorithm for state estimate of discrete-time Markov jump linear systems in the sense of minimum mean square error estimate is proposed. The proposed suboptimal algorithm is recursive and finite-dimensionally computable. Computer simulations are carried out to evaluate the performance of the proposed suboptimal algorithm.