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2014 Existence, Uniqueness, and Stability Analysis of Impulsive Neural Networks with Mixed Time Delays
Qiang Xi, Jianguo Si
Abstr. Appl. Anal. 2014(SI70): 1-14 (2014). DOI: 10.1155/2014/327070


We study a class of impulsive neural networks with mixed time delays and generalized activation functions. The mixed delays include time-varying transmission delay, bounded time-varying distributed delay, and discrete constant delay in the leakage term. By using the contraction mapping theorem, we obtain a sufficient condition to guarantee the global existence and uniqueness of the solution for the addressed neural networks. In addition, a delay-independent sufficient condition for existence of an equilibrium point and some delay-dependent sufficient conditions for stability are derived, respectively, by using topological degree theory and Lyapunov-Krasovskii functional method. The presented results require neither the boundedness, monotonicity, and differentiability of the activation functions nor the differentiability (even differential boundedness) of time-varying delays. Moreover, the proposed stability criteria are given in terms of linear matrix inequalities (LMI), which can be conveniently checked by the MATLAB toolbox. Finally, an example is given to show the effectiveness and less conservativeness of the obtained results.


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Qiang Xi. Jianguo Si. "Existence, Uniqueness, and Stability Analysis of Impulsive Neural Networks with Mixed Time Delays." Abstr. Appl. Anal. 2014 (SI70) 1 - 14, 2014.


Published: 2014
First available in Project Euclid: 3 October 2014

zbMATH: 07022177
MathSciNet: MR3212413
Digital Object Identifier: 10.1155/2014/327070

Rights: Copyright © 2014 Hindawi


Vol.2014 • No. SI70 • 2014
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