Robust Kalman Filtering for Uncertain Discrete Markovian Jump Systems

In this paper, the problem of robust Kalman filtering for uncertain discrete-time systems with Markovian jump parameters is solved. We give a novel design methodology of a stochastic quadratic filter which guarantees both the stability and boundedness of the estimation error dynamics. Our methods depends on the solution to two sets of coupled algebraic Riccati equations.