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- W2057553318 abstract "In this paper, the problem of robust passivity for discrete-time delayed standard neural network model (DDSNNM) with time-varying delays and norm-bounded parameters uncertainties is investigated. The model is the interconnection of a linear dynamic system and a bounded static delayed nonlinear operator. The DDSNNM is applied to analyze the passivity of discrete-time recurrent neural networks and synthesize the state-feedback passive controller for discrete-time nonlinear system modeled by the neural networks. By constructing suitable Lyapunov-Krasovskii functional, the delay-dependent passivity criterion for discrete-time delayed standard neural network model is obtained in terms of linear matrix inequality. Numerical examples are given to illustrate the effectiveness of the proposed methods." @default.
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- W2057553318 date "2010-03-01" @default.
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- W2057553318 title "Delay-dependent passivity criterion for discrete-time delayed standard neural network model" @default.
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- W2057553318 doi "https://doi.org/10.1016/j.neucom.2009.12.005" @default.
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