Asymptotic behaviors of stochastic Cohen–Grossberg neural networks with mixed time-delays
✍ Scribed by Wan, Li; Zhou, Qinghua
- Book ID
- 121843276
- Publisher
- Elsevier Science
- Year
- 2013
- Tongue
- English
- Weight
- 457 KB
- Volume
- 225
- Category
- Article
- ISSN
- 0096-3003
No coin nor oath required. For personal study only.
📜 SIMILAR VOLUMES
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
In this paper, we consider the stochastic Cohen-Grossberg-type BAM neural networks with mixed delays. By utilizing the Lyapunov-Krasovskii functional and the linear matrix inequality (LMI) approach, some sufficient LMI-based conditions are obtained to guarantee the global asymptotic stability of sto