Title :
Exponential Stability of Delayed Neural Networks with Impulses
Author :
Yang, Jin-xiang ; Zhong, Shou-ming ; Song, Jian-cheng
Author_Institution :
Coll. of Comput. Sci. & Technol, Southwest Univ. for Nat., Chengdu
Abstract :
This paper investigates the stability of a class of delayed neural networks with impulses. By means of Lyapunov direct method, the new sufficient conditions for exponential stability of the systems are derived.
Keywords :
Lyapunov methods; asymptotic stability; neural nets; Lyapunov direct method; delayed neural networks; exponential stability; Artificial neural networks; Computer science; Delay effects; Differential equations; Educational institutions; Hopfield neural networks; Neural networks; Recurrent neural networks; Stability criteria; Sufficient conditions; Exponential stability; impulsive; neural networks;
Conference_Titel :
Apperceiving Computing and Intelligence Analysis, 2008. ICACIA 2008. International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4244-3427-5
Electronic_ISBN :
978-1-4244-3426-8
DOI :
10.1109/ICACIA.2008.4770015
