This paper investigates the global asymptotic stability (GAS) for a class of nonlinear neural networks with multiple delays. Based on Lyapunov stability theory and the linear matrix inequality (LMI) technique, a less conservative delay-dependent stability criterion is derived. The present result is
โฆ LIBER โฆ
Stability of a class of directionally sensitive asymmetric nonlinear neural networks
โ Scribed by S.P. Tonkin; R.B. Pinter; B. Nabet
- Publisher
- Elsevier Science
- Year
- 1996
- Tongue
- English
- Weight
- 952 KB
- Volume
- 9
- Category
- Article
- ISSN
- 0893-6080
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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