Novel robust stability criteria for interval-delayed Hopfield neural networks

Citation
Xf. Liao et al., Novel robust stability criteria for interval-delayed Hopfield neural networks, IEEE CIRC-I, 48(11), 2001, pp. 1355-1359
Citations number
18
Language
INGLESE
art.tipo
Article
Categorie Soggetti
Eletrical & Eletronics Engineeing
Journal title
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS I-FUNDAMENTAL THEORY AND APPLICATIONS
ISSN journal
1057-7122 → ACNP
Volume
48
Issue
11
Year of publication
2001
Pages
1355 - 1359
Database
ISI
SICI code
1057-7122(200111)48:11<1355:NRSCFI>2.0.ZU;2-6
Abstract
In this paper, some novel criteria for the global robust stability of a cla ss of interval Hopfield neural networks with constant delays are given. Bas ed on several new Lyapunov functionals, delay-independent criteria are prov ided to guarantee the global robust stability of such systems. For conventi onal Hopfield neural networks with constant delays, some new criteria for t heir global asymptotic stability are also easily obtained. All the results obtained are generalizations of some recent results reported in the literat ure for neural networks with constant delays. Numerical examples are also g iven to show the correctness of our analysis.