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Robust Estimation for Discrete-Time Uncertain Systems with Markov Jump Delays

This paper is concerned with the dynamic Markov jump filters for discrete-time uncertain system with random delays in the observations. By applying the measurement reorganization approach, the system is further transformed into the delay-free one with Markov jump parameters. Then the estimator is derived by using the regularized least-squares and Markov jump filter theories. At last, a simulation example is given to illustrate the effectiveness of the proposed result.