Optimal unbiased filtering via linear matrix inequalities
Systems & Control Letters
Robust filtering for jumping systems with mode-dependent delays
Signal Processing
Brief paper: Unbiased minimum-variance input and state estimation for linear discrete-time systems
Automatica (Journal of IFAC)
Brief paper: New results on stabilization of Markovian jump systems with time delay
Automatica (Journal of IFAC)
Improved robust energy-to-peak filtering for uncertain linear systems
Signal Processing
IEEE Transactions on Signal Processing
Fuzzy H∞ filtering for nonlinear Markovian jump neutral systems
International Journal of Systems Science - New advances in H∞ control and filtering for nonlinear systems
IEEE Transactions on Signal Processing
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
IEEE Transactions on Neural Networks
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The unbiased H"~ filtering problem is considered for a class of Markov jump systems (MJSs) with distributed time-delays. Based on the selected Lyapunov-Krasovskii functional, it gives a sufficient condition for the existence of the mode-dependent unbiased H"~ filter such that the filtering error dynamic MJSs is stochastically stable and satisfies a prescribed level of H"~ disturbance attenuation in an infinite time-interval. The design criterions are presented in the form of linear matrix inequality techniques, and then are described as the optimization problems. At last, two numerical examples are employed to illustrate the effectiveness of the developed techniques.