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2012 Input-to-State Stability for Dynamical Neural Networks with Time-Varying Delays
Weisong Zhou, Zhichun Yang
Abstr. Appl. Anal. 2012(SI04): 1-12 (2012). DOI: 10.1155/2012/372324


A class of dynamical neural network models with time-varying delays is considered. By employing the Lyapunov-Krasovskii functional method and linear matrix inequalities (LMIs) technique, some new sufficient conditions ensuring the input-to-state stability (ISS) property of the nonlinear network systems are obtained. Finally, numerical examples are provided to illustrate the efficiency of the derived results.


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Weisong Zhou. Zhichun Yang. "Input-to-State Stability for Dynamical Neural Networks with Time-Varying Delays." Abstr. Appl. Anal. 2012 (SI04) 1 - 12, 2012.


Published: 2012
First available in Project Euclid: 5 April 2013

zbMATH: 1261.34059
MathSciNet: MR3004927
Digital Object Identifier: 10.1155/2012/372324

Rights: Copyright © 2012 Hindawi

Vol.2012 • No. SI04 • 2012
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