International Journal of Computer Science Issues

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This paper studies the problem of non-fragile filtering for a class of nonlinear sampled-data system with long time-delay. The nonlinearity is assumed to satisfy global Lipschitz conditions, and the filter to be designed includes multiplicative gain variation, which results from filter implementations. Furthermore, to long time-delay, the direct distribution method is applied to design non-fragile filter that assures asymptotic stability and satisfy a prescribed performance index for the filtering error system. The proposed algorithm is given in terms of linear matrix inequality, whose feasibility and effectiveness has been shown by a numerical example.