In this paper, we investigate the existence and stability of the equilibrium point of Cohen-Grossberg neural networks with time-varying delays. Under easily verified conditions, exponential stability is obtained when the delay is finite, while asymptotic stability is obtained when the delay is infin
✦ LIBER ✦
Novel stability criteria of Cohen–Grossberg neural networks with time-varying delays
✍ Scribed by Cheng-De Zheng; Qi-He Shan; Zhanshan Wang
- Publisher
- John Wiley and Sons
- Year
- 2010
- Tongue
- English
- Weight
- 730 KB
- Volume
- 40
- Category
- Article
- ISSN
- 0098-9886
- DOI
- 10.1002/cta.719
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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