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
โฆ LIBER โฆ
On global asymptotic stability for a class of delayed neural networks
โ Scribed by James Lam; Shengyuan Xu; Daniel W. C. Ho; Yun Zou
- Publisher
- John Wiley and Sons
- Year
- 2011
- Tongue
- English
- Weight
- 110 KB
- Volume
- 40
- Category
- Article
- ISSN
- 0098-9886
- DOI
- 10.1002/cta.777
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## Abstract In this paper, without assuming the boundedness, monotonicity and differentiability of the activation functions, we present new conditions ensuring existence, uniqueness, and global asymptotical stability of the equilibrium point of bidirectional associative memory neural networks with