DocumentCode :
2475259
Title :
Improved delay-dependent stability criteria for neural networks with time-varying delay
Author :
Yu, Jianjiang ; Li, Tao ; Sun, Changyin
Author_Institution :
Sch. of Inf. Sci. & Technol., Yancheng Teachers Univ., Yancheng
fYear :
2008
fDate :
25-27 June 2008
Firstpage :
213
Lastpage :
217
Abstract :
In this paper, an augmented Lyapunov functional, which takes an integral term of state vector into account, is introduced. Owing to the functional, an improved delay-dependent asymptotic stability criterion for delay neural networks is derived in term of LMIs. Moreover, the result is also extended to rate-independent stability criteria for unknown time-varying delay. Finally, numerical examples are given to illustrate the effectiveness of our methods and improvement over the existing ones.
Keywords :
Lyapunov methods; delays; linear matrix inequalities; neural nets; stability; time-varying systems; LMI; augmented Lyapunov functional; delay neural networks; delay-dependent asymptotic stability; delay-dependent stability; time-varying delay; Asymptotic stability; Automation; Delay effects; Delay estimation; Intelligent control; Linear matrix inequalities; Neural networks; Neurons; Stability criteria; Symmetric matrices; Delay-dependent; Linear matrix inequality (LMI); Neural networks (NNs); Stability criterion;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Control and Automation, 2008. WCICA 2008. 7th World Congress on
Conference_Location :
Chongqing
Print_ISBN :
978-1-4244-2113-8
Electronic_ISBN :
978-1-4244-2114-5
Type :
conf
DOI :
10.1109/WCICA.2008.4592926
Filename :
4592926
Link To Document :
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