DocumentCode
1494899
Title
Some stability criteria for cellular neural networks with sigmoidal nonlinearities
Author
Perfetti, R.
Author_Institution
Ist. di Elettronica, Perugia Univ., Italy
Volume
35
Issue
3
fYear
1999
fDate
2/4/1999 12:00:00 AM
Firstpage
227
Lastpage
228
Abstract
Some sufficient conditions are presented concerning the stability of equilibrium points of cellular neural networks (CNNs) with continuously differentiable sigmoidal nonlinearities. This type of nonlinearity represents a more realistic model of analogue circuit implementation than the usual piecewise-linear function
Keywords
cellular neural nets; stability criteria; analogue circuit; cellular neural network; equilibrium point; sigmoidal nonlinearity; stability criteria;
fLanguage
English
Journal_Title
Electronics Letters
Publisher
iet
ISSN
0013-5194
Type
jour
DOI
10.1049/el:19990137
Filename
755935
Link To Document