Title :
A weaker condition for the stability of nonsymmetric CNN´s
Author :
Arik, Sabri ; Tavsanoglu, Vedat
Author_Institution :
Centre for Res. in Inf. Eng., South Bank Univ., London, UK
Abstract :
In this paper, a new sufficient condition is given for the stability of a nonsymmetric CNN. This condition is less strict than that was given in Savaci and Vandewalle (1993). It also assures a stronger stability property than that was given in Chua and Roska (1990) as the existence of a stable equilibrium point is guaranteed. Therefore this condition allows more CNN types to be included into the class of stable CNN´s
Keywords :
cellular neural nets; stability; cellular neural networks; nonsymmetric CNN´s; stability; stable equilibrium point; weaker condition; Cellular networks; Cellular neural networks; Image converters; Image processing; Lyapunov method; Output feedback; Signal processing; Stability analysis; State feedback; Sufficient conditions;
Conference_Titel :
Cellular Neural Networks and their Applications, 1994. CNNA-94., Proceedings of the Third IEEE International Workshop on
Conference_Location :
Rome
Print_ISBN :
0-7803-2070-0
DOI :
10.1109/CNNA.1994.381686
