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This paper focuses on the robust delay-dependent dissipativity problem of neural networks with a bounded time-varying delays. Firstly, a proper augmented Lyapunov-Krasovskii functional, which doesn't demand all the symmetric matrices to be positive definite, is constructed. In addition, by employing relaxed integral inequality and the combining generalized free-weighting-matrix (GFWM) approach to...
This paper deals with the problem of passivity analysis for neural networks with both time-varying delay and norm-bounded parameter uncertainties. By further utilizing the information of activation function and employing a reciprocally convex approach to consider the relationship between the time-varying delay and its time-varying interval, some improved delay-dependent passivity conditions are obtained,...
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