Title :
New method on the complete stability of delayed cellular neural networks
Author :
Lili Wang ; Tianping Chen
Author_Institution :
Dept. of Appl. Math., Shanghai Univ. of Finance & Econ., Shanghai, China
Abstract :
In this paper, a class of delayed cellular neural networks are investigated. Besides the coexistence of multiple equilibrium points and their multistability, we are concerned with the complete stability of these dynamical systems. And by rigorous analysis, it concludes that every solution trajectory would converge to one of the equilibrium points despite of the time-varying delays, that is, the delayed cellular neural networks are completely stable.
Keywords :
delays; neural nets; stability; complete stability; delayed cellular neural networks; dynamical systems; equilibrium point; multistability; time-varying delays; Cellular neural networks; Delays; Educational institutions; Indexes; Stability analysis; Trajectory;
Conference_Titel :
Neural Networks (IJCNN), 2014 International Joint Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4799-6627-1
DOI :
10.1109/IJCNN.2014.6889648
