Abstract
In this paper, the problem of induced l2 filter design is investigated for a class of T-S fuzzy Ito stochastic systems. A novel comparison model is introduced by employing a new approximation for time-varying delay state, and then sufficient conditions are proposed for the resulting filtering error system. The desired filter is to be stochastically stable and meets an induced l2 performance index by solving a convex optimization problem, which can be efficiently solved by standard numerical algorithms.
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