Title :
A Lyapunov function approach to the study of the stability of cellular neural networks
Author_Institution :
Dipartimento di Elettronica, Politecnico di Torino, Italy
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;
Conference_Titel :
Circuits and Systems, 1993., ISCAS '93, 1993 IEEE International Symposium on
Conference_Location :
Chicago, IL
Print_ISBN :
0-7803-1281-3
DOI :
10.1109/ISCAS.1993.394294
