Title
Delay-dependent criteria for robust stability of uncertain switched Hopfield neural networks
Abstract
This paper deals with the problem of delay-dependent robust stability for a class of switched Hopfield neural networks with time-varying structured uncertainties and time-varying delay. Some Lyapunov-Krasovskii functionals are constructed and the linear matrix inequality (LMI) approach and free weighting matrix method are employed to devise some delay-dependent stability criteria which guarantee the existence, uniqueness and global exponential stability of the equilibrium point for all admissible parametric uncertainties. By using Leibniz-Newton formula, free weighting matrices are employed to express this relationship, which implies that the new criteria are less conservative than existing ones. Some examples suggest that the proposed criteria are effective and are an improvement over previous ones.
Year
DOI
Venue
2007
10.1007/s11633-007-0304-0
International Journal of Automation and Computing
Keywords
DocType
Volume
switched systems,hopfleld neural networks,robust stability,linear matrix inequality,hopfield neural networks,delay-dependent criteria,linear matrix inequality.,time-varying delay,equilibrium point
Journal
4
Issue
ISSN
Citations 
3
17518520
14
PageRank 
References 
Authors
1.09
20
4
Name
Order
Citations
PageRank
Xuyang Lou132835.35
lou2242.09
baotong3483.85
baotong4483.85