Title
Lyapunov Method and Convergence of the Full-Range Model of CNNs
Abstract
This paper develops a Lyapunov approach for studying convergence and stability of a class of differential inclusions termed differential variational inequalities (DVIs). The DVIs describe the dynamics of a general system evolving in a compact convex subset of the state space. In particular, they include the dynamics of the full-range (FR) model of cellular neural networks (CNNs), which is characte...
Year
DOI
Venue
2008
10.1109/TCSI.2008.925820
IEEE Transactions on Circuits and Systems I: Regular Papers
Keywords
Field
DocType
Lyapunov method,Convergence,Cellular neural networks,Page description languages,Asymptotic stability,Nonlinear dynamical systems,State-space methods,Stability analysis,Standards development,Symmetric matrices
Convergence (routing),Differential inclusion,Lyapunov function,Mathematical analysis,Control theory,Equilibrium point,Exponential stability,Invariant (mathematics),Mathematics,Variational inequality,LaSalle's invariance principle
Journal
Volume
Issue
ISSN
55
11
1549-8328
Citations 
PageRank 
References 
22
0.92
18
Authors
5
Name
Order
Citations
PageRank
Mauro Di Marco120518.38
Mauro Forti239836.80
Massimo Grazzini313111.01
Paolo Nistri421233.80
Luca Pancioni520717.58