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• W2017221888 abstract "The problem of global robust stability is investigated for a class of uncertain neural networks with both multiple discrete time-varying delays and distributed time-varying delays. The uncertainties are assumed to be of norm-bounded form and the activation functions are supposed to be bounded and globally Lipschitz continuous. Based on the Lyapunov stability theory and linear matrix inequality technique, some robust stability conditions guaranteeing the global robust convergence of the equilibrium point are derived. The proposed LMI-based criteria are computationally efficient as they can be easily checked by using recently developed algorithms in solving LMIs. Two examples are given to show the effectiveness of the proposed results." @default.
• W2017221888 created "2016-06-24" @default.
• W2017221888 creator A5022256912 @default.
• W2017221888 creator A5086306666 @default.
• W2017221888 date "2009-05-01" @default.
• W2017221888 modified "2023-10-16" @default.
• W2017221888 title "Global robust stability of neural networks with multiple discrete delays and distributed delays" @default.
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• W2017221888 doi "https://doi.org/10.1016/j.chaos.2007.09.065" @default.
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