DocumentCode
1797845
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
fYear
2014
fDate
6-11 July 2014
Firstpage
2491
Lastpage
2495
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Networks (IJCNN), 2014 International Joint Conference on
Conference_Location
Beijing
Print_ISBN
978-1-4799-6627-1
Type
conf
DOI
10.1109/IJCNN.2014.6889648
Filename
6889648
Link To Document