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• W1965102521 abstract "Abstract In this paper, the exponential stability of nonlinear discrete-time systems is studied. A novel notion of nonlinear spectral radius is defined. Under the assumption of Lipschitz continuity for the activation function, the developed approach is applied to stability analysis of discrete-time neural networks. A series of sufficient conditions for global exponential stability of the neural networks are established and an estimate of the exponential decay rate is also derived for each case." @default.
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• W1965102521 date "2007-01-01" @default.
• W1965102521 modified "2023-09-25" @default.
• W1965102521 title "A new stability criterion for discrete-time neural networks: Nonlinear spectral radius" @default.
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• W1965102521 doi "https://doi.org/10.1016/j.chaos.2005.09.075" @default.
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