STABILITY OF CELLULAR NEURAL NETWORKS AND DELAYED CELLULAR NEURAL NETWORKS WITH NONPOSITIVE TEMPLATES AND NONMONOTONIC OUTPUT FUNCTIONS

Authors
GILLI M
Citation
M. Gilli, STABILITY OF CELLULAR NEURAL NETWORKS AND DELAYED CELLULAR NEURAL NETWORKS WITH NONPOSITIVE TEMPLATES AND NONMONOTONIC OUTPUT FUNCTIONS, IEEE transactions on circuits and systems. 1, Fundamental theory andapplications, 41(8), 1994, pp. 518-528
Citations number
21
Categorie Soggetti
Engineering, Eletrical & Electronic
Journal title
IEEE transactions on circuits and systems. 1, Fundamental theory andapplications → ACNP
ISSN journal
10577122
Volume
41
Issue
8
Year of publication
1994
Pages
518 - 528
Database
ISI
SICI code
1057-7122(1994)41:8<518:SOCNNA>2.0.ZU;2-L
Abstract
In this paper the problem of the stability of Cellular Neural Networks (CNN's) and Delayed Cellular Neural Networks (DCNN's) is addressed by means of Lyapunov functions (functionals in the delayed case); new cl asses of nonpositive templates, describing CNN's and DCNN's, are shown to be stable and some conditions are found ensuring the complete stab ility of dominant template DCNN's and CNN's with nonmonotonic output f unctions.