DocumentCode
2614309
Title
A Lyapunov function approach to the study of the stability of cellular neural networks
Author
Gilli, Marco
Author_Institution
Dipartimento di Elettronica, Politecnico di Torino, Italy
fYear
1993
fDate
3-6 May 1993
Firstpage
2584
Abstract
The author addresses the problem of the stability of cellular neural networks (CNNs) and delayed cellular neural networks (DCNNs) by means of Lyapunov functions. He explores the existence of Lyapunov functions for CNNs described by nonsymmetric templates. New classes of templates completely stable both for CNNs and DCNNs are discussed
Keywords
Lyapunov methods; cellular neural nets; stability; CNNs; DCNNs; Lyapunov function approach; cellular neural networks; delayed cellular neural networks; nonsymmetric templates; stability; Artificial intelligence; Cellular neural networks; DH-HEMTs; Equations; Lyapunov method; Neodymium; Piecewise linear techniques; Rails; Stability; Sufficient conditions;
fLanguage
English
Publisher
ieee
Conference_Titel
Circuits and Systems, 1993., ISCAS '93, 1993 IEEE International Symposium on
Conference_Location
Chicago, IL
Print_ISBN
0-7803-1281-3
Type
conf
DOI
10.1109/ISCAS.1993.394294
Filename
394294
Link To Document