Global exponential stability of a class of neural networks with unbounded delays
β Scribed by Tran Thi Loan; Duong Anh Tuan
- Publisher
- Springer
- Year
- 2008
- Tongue
- English
- Weight
- 160 KB
- Volume
- 60
- Category
- Article
- ISSN
- 0041-5995
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π SIMILAR VOLUMES
In this paper, the conditions ensuring existence, uniqueness, and global exponential stability of the equilibrium point of a class of neural networks with variable delays are studied. Without assuming global Lipschitz conditions on these activation functions, applying idea of vector Lyapunov functio
Recently, Zhang, Suda and Iwasa [Zhang, Jiye, Suda, Yoshihiro, & Iwasa, Takashi (2004). Absolute exponential stability of a class of neural networks with unbounded delay, Neural Network, 17, 391-397] established the following: Result. Suppose that T be an n Γ n matrix, and D be an n Γ n positive de
In this paper, by utilizing Lyapunov functional method, the quality of negative definite matrix and the linear matrix inequality approach, the global exponential stability of the equilibrium point for a class of generalized delayed neural networks with impulses is investigated. A new criterion on gl