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New augmented Lyapunov–Krasovskii functional approach to stability analysis of neural networks with time-varying delays

✍ Scribed by Kwon, O. M.; Park, Ju H.; Lee, S. M.; Cha, E. J.


Book ID
121608026
Publisher
Springer Netherlands
Year
2013
Tongue
English
Weight
663 KB
Volume
76
Category
Article
ISSN
0924-090X

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A new approach to exponential stability
✍ Shengyuan Xu; James Lam 📂 Article 📅 2006 🏛 Elsevier Science 🌐 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