Title :
New condition for global exponential stability of neural networks
Author :
Sun, Changyin ; Zhang, Kanjian ; Fei, Shumin ; Feng, Chun-Bo
Author_Institution :
Res. Inst. of Autom., Southeast Univ., Nanjing, China
Abstract :
In this paper, based on globally Lipschitz continuous activation functions, new conditions ensuring existence, uniqueness and global exponential stability of the equilibrium point of neural networks are obtained.
Keywords :
asymptotic stability; neural nets; equilibrium point; global exponential stability; globally Lipschitz continuous activation functions; neural networks; Associative memory; Automation; Design optimization; Differential equations; Electronic mail; Erbium; Linear programming; Neural networks; Stability analysis; Sun;
Conference_Titel :
Intelligent Control and Automation, 2002. Proceedings of the 4th World Congress on
Print_ISBN :
0-7803-7268-9
DOI :
10.1109/WCICA.2002.1021426
