Novel global stability criteria for high-order Hopfield-type neural networks with time-varying delays
โ Scribed by Xu-Yang Lou; Bao-Tong Cui
- Book ID
- 108175666
- Publisher
- Elsevier Science
- Year
- 2007
- Tongue
- English
- Weight
- 162 KB
- Volume
- 330
- Category
- Article
- ISSN
- 0022-247X
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๐ SIMILAR VOLUMES
The problem of stochastic robust stability of a class of stochastic Hopfield neural networks with time-varying delays and parameter uncertainties is investigated in this paper. The parameter uncertainties are time-varying and norm-bounded. The time-delay factors are unknown and time-varying with kno
This paper studies the problems of global exponential stability of high-order Hopfield-type neural networks with s-type distributed time delays. By using the topological degree theory and differential inequality technique, we prove existence of the equilibrium point and global existence of the solut