DocumentCode :
2292110
Title :
Exponential stabilization of neutral-type neural networks with interval non-differentiable and distributed time-varying delays
Author :
Weera, Wajaree ; Niamsup, Piyapong
Author_Institution :
Dept. of Math., Chiang Mai Univ., Chiang Mai, Thailand
fYear :
2012
fDate :
6-8 July 2012
Firstpage :
1293
Lastpage :
1298
Abstract :
In this paper, the problem of exponential stabilization of neutral-type neural networks with various activation functions and interval non-differentiable and distributed time-varying delays is considered. The interval time-varying delay function is not necessary to be differentiable. By constructing a set of improved Lyapunov-Krasovskii functional combined with Leibniz-Newton´s formula, the proposed stability criteria are formulated in the form of a linear matrix inequalities. Numerical example illustrates the effectiveness of the results.
Keywords :
asymptotic stability; delays; linear matrix inequalities; neural nets; time-varying systems; Leibniz-Newton formula; Lyapunov-Krasovskii functional; activation function; distributed time varying delays; exponential stabilization; interval time varying delay function; linear matrix inequalities; neutral type neural networks; nondifferentiable time varying delays; stability criteria; Delay; Delay effects; Neural networks; Numerical stability; Stability criteria; Symmetric matrices; Distributed delays; Exponential stabilization; Interval time-varying delays; Neutral-type neural networks;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Control and Automation (WCICA), 2012 10th World Congress on
Conference_Location :
Beijing
Print_ISBN :
978-1-4673-1397-1
Type :
conf
DOI :
10.1109/WCICA.2012.6358080
Filename :
6358080
Link To Document :
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