DocumentCode :
2243958
Title :
Stability analysis of dynamical neural networks with uncertain delays
Author :
Chen, Wu-Hua ; Zheng, Wei Xing
Author_Institution :
Coll. of Math. & Inf. Sci., Guangxi Univ., Nanning, China
fYear :
2008
fDate :
9-11 Dec. 2008
Firstpage :
3658
Lastpage :
3663
Abstract :
The problem of stability of dynamical neural networks with uncertain delays is studied, where uncertain delays are assumed to be constant. In this paper, a new approach is developed to establish delay-dependent sufficient conditions for asymptotic stability of delayed neural networks. The new approach is a combination of the discretized Lyapunov functional method and the free-weighting matrix technique. The established delay-dependent sufficient conditions are expressed by means of linear matrix inequalities, and thus are easily checkable. The new delay-dependent stability conditions are further illustrated by numerical results and are also compared with the existing results.
Keywords :
Lyapunov methods; delays; linear matrix inequalities; neural nets; stability; asymptotic stability; discretized Lyapunov functional method; dynamical neural networks; free-weighting matrix technique; linear matrix inequalities; stability analysis; uncertain delays; Artificial neural networks; Asymptotic stability; Delay; Linear matrix inequalities; Lyapunov method; Mathematics; Neural networks; Stability analysis; Stability criteria; Sufficient conditions;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Decision and Control, 2008. CDC 2008. 47th IEEE Conference on
Conference_Location :
Cancun
ISSN :
0191-2216
Print_ISBN :
978-1-4244-3123-6
Electronic_ISBN :
0191-2216
Type :
conf
DOI :
10.1109/CDC.2008.4738931
Filename :
4738931
Link To Document :
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