Global exponential robust stability of interval cellular neural networks with S-type distributed delays
β Scribed by Ruojun Zhang; Linshan Wang
- Publisher
- Elsevier Science
- Year
- 2009
- Tongue
- English
- Weight
- 426 KB
- Volume
- 50
- Category
- Article
- ISSN
- 0895-7177
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This paper studies the problems of global exponential stability of high-order Hopfield-type neural networks with s-type distributed time delays. By using the topological degree theory and differential inequality technique, we prove existence of the equilibrium point and global existence of the solut
In this paper, the global robust stability is investigated for interval neural networks with multiple time-varying delays. The neural network contains time-invariant uncertain parameters whose values are unknown but bounded in given compact sets. Without assuming both the boundedness on the activati