Abstract
The problem of extended dissipative estimation is investigated for a class of nonlinear semi-Markov jump systems via the Takagi–Sugeno fuzzy model in this paper. Thereinto, the non-fragile strategy is utilized to relax the additive gain variations in the construction of estimator. The aim is to design a mixed estimator including the mode-independent and mode-dependent type to cope with the transmission defect of modal information. Whereafter, some sufficient conditions for guaranteeing the asymptotic stability and the extended dissipative property of the resulting estimation error system are proposed. At length, for presenting the efficiency of the proposed method, a numerical example is employed.
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