Title :
On unconditional stability of the general delayed cellular neural networks
Author :
Yang, Tao ; Yang, Lin-Bao ; Yang, Guang
Author_Institution :
Dept. of Autom. Control Eng., Shanghai Univ. of Technol., China
Abstract :
In this paper, an algebraic criterion of the unconditional stability of the delayed cellular neural networks (DCNN) is presented. The criterion is necessary and sufficient, which gives the decision of the unconditional stability of the DCNN an elementary approach instead of the transcendental ones. Some examples are given to show how the criterion works in a simple way
Keywords :
cellular neural nets; stability; algebraic criterion; cellular neural networks; delayed cellular neural networks; unconditional stability; Cellular networks; Cellular neural networks; Circuit stability; Cities and towns; Delay; Large-scale systems; Neural networks; Nonlinear circuits; Stability criteria; Voltage;
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.1994.381687
