A new approach to exponential stability
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Shengyuan Xu; James Lam
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Article
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2006
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Elsevier Science
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English
⚖ 143 KB
This paper considers the problem of exponential stability analysis of neural networks with time-varying delays. The activation functions are assumed to be globally Lipschitz continuous. A linear matrix inequality (LMI) approach is developed to derive sufficient conditions ensuring the delayed neural