Criteria for exponential stability of Cohen–Grossberg neural networks
✍ Scribed by Xiaofeng Liao; Chunguang Li; Kwok-wo Wong
- Publisher
- Elsevier Science
- Year
- 2004
- Tongue
- English
- Weight
- 332 KB
- Volume
- 17
- Category
- Article
- ISSN
- 0893-6080
No coin nor oath required. For personal study only.
📜 SIMILAR VOLUMES
The exponential stability characteristics of the Cohen-Grossberg neural networks with discrete delays are studied in this paper, without assuming the symmetry of connection matrix as well as the monotonicity and differentiability of the activation functions and the self-signal functions. By construc
In this paper, we study the impulsive stochastic Cohen-Grossberg neural networks with mixed delays. By establishing an Loperator differential inequality with mixed delays and using the properties of M-cone and stochastic analysis technique, we obtain some sufficient conditions ensuring the exponenti