Title :
Stability analysis of cellular neural networks with hysteresis nonlinearity in the feedback system
Author_Institution :
Center of Math., Russe Tech. Univ., Bulgaria
Abstract :
A new class of cellular neural networks is considered, where nonlinearity in the feedback system is hysteresis type. Stability analysis of the equilibrium points of this circuit is made using a new approach of dividing M×N Euclidean space into three different types of regions
Keywords :
bifurcation; cellular neural nets; feedback; hysteresis; network analysis; stability; Euclidean space; cellular neural networks; feedback system; hysteresis nonlinearity; stability analysis; Bifurcation; Cellular neural networks; Circuits; Cloning; Convolution; Hysteresis; Intelligent networks; Mathematics; Neurofeedback; Stability analysis;
Conference_Titel :
Cellular Neural Networks and their Applications, 1996. CNNA-96. Proceedings., 1996 Fourth IEEE International Workshop on
Conference_Location :
Seville
Print_ISBN :
0-7803-3261-X
DOI :
10.1109/CNNA.1996.566516
