Title :
Convergence of reciprocal time-discrete cellular neural networks with continuous nonlinearities
Author :
Fruehau, N. ; Chua, L.O. ; Lueder, E.
Author_Institution :
Inst. fuer Netzwerk und Systemtheorie, Stuttgart Univ., Germany
Abstract :
A proof for the convergence of reciprocal time-discrete cellular neural networks (CNNs) with continuous, monotone increasing nonlinearities is presented. The proof uses a Lyapunov function of the time-discrete cellular neural network
Keywords :
Lyapunov methods; convergence; neural nets; Lyapunov function; continuous nonlinearities; convergence; reciprocal time-discrete cellular neural networks; Cellular neural networks; Computer networks; Convergence; Lyapunov method; Nonlinear equations; Output feedback; Piecewise linear techniques; Stability analysis; State feedback;
Conference_Titel :
Cellular Neural Networks and their Applications, 1992. CNNA-92 Proceedings., Second International Workshop on
Conference_Location :
Munich
Print_ISBN :
0-7803-0875-1
DOI :
10.1109/CNNA.1992.274346
