Title :
Some stability criteria for cellular neural networks with sigmoidal nonlinearities
Author_Institution :
Ist. di Elettronica, Perugia Univ., Italy
fDate :
2/4/1999 12:00:00 AM
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;
Journal_Title :
Electronics Letters
DOI :
10.1049/el:19990137
