In this paper, the problems of stability in a class of delayed cellular neural networks (DCNN) are studied; some new stability criteria are obtained by using the Lyapunov functional method and some analysis techniques. These criteria can be used to design globally stable networks and thus have impor
On the stability analysis of delayed neural networks systems
✍ Scribed by Chunhua Feng; Réjean Plamondon
- Book ID
- 108458334
- Publisher
- Elsevier Science
- Year
- 2001
- Tongue
- English
- Weight
- 122 KB
- Volume
- 14
- Category
- Article
- ISSN
- 0893-6080
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## Ž . A set of sufficient criteria are found ensuring the global asymptotic stability of delayed cellular neural networks DCNN with more general output functions by introducing ingeniously real parameters a Ž . s 1,a q b s 1,h q z s 1,h q z s 1 j s 1,2, PPP ,n , constructing suitable Lyapunov fu
In this paper, the asymptotical stability is investigated for a class of delayed neural networks (DNNs), in which one improved delay-partitioning idea is employed. By choosing an augmented Lyapunov-Krasovskii functional and utilizing general convex combination method, two novel conditions are obtain