DocumentCode :
1752830
Title :
Delay-dependent stability criterion of a class of neural networks with time-varying delay
Author :
Bin, Yang ; Shubo, Liu ; Jincheng, Wang ; Jing, Jin
Author_Institution :
Dept. of Autom., Dalian Univ. of Technol.
Volume :
1
fYear :
0
fDate :
0-0 0
Firstpage :
3038
Lastpage :
3041
Abstract :
A new Lyapunov-Krasovskii functional is constructed for a class of neural networks with time-varying delay, and some free-weighting matrices and S-procedure are employed to derive the delay-dependent stability criterion. The derived criterion is formulated in terms of linear matrix inequalities (LMIs). A numerical example is given to demonstrate the effectiveness and applicability of the criterion
Keywords :
Lyapunov matrix equations; delay systems; linear matrix inequalities; neurocontrollers; time-varying systems; Lyapunov-Krasovskii functional; S-procedure; delay-dependent stability criterion; free-weighting matrices; linear matrix inequality; neural network; time-varying delay; Asymptotic stability; Automation; Computer networks; Delay effects; Delay lines; Linear matrix inequalities; Neural networks; Neurons; Signal processing; Stability criteria; Delay-dependent stability; Neural networks; delay; linear matrix inequalities;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Control and Automation, 2006. WCICA 2006. The Sixth World Congress on
Conference_Location :
Dalian
Print_ISBN :
1-4244-0332-4
Type :
conf
DOI :
10.1109/WCICA.2006.1712924
Filename :
1712924
Link To Document :
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