Abstract and Applied Analysis

Existence, Uniqueness, and Stability Analysis of Impulsive Neural Networks with Mixed Time Delays

Qiang Xi and Jianguo Si

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Abstract

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.

Article information

Source
Abstr. Appl. Anal., Volume 2014, Special Issue (2014), Article ID 327070, 14 pages.

Dates
First available in Project Euclid: 3 October 2014

Permanent link to this document
https://projecteuclid.org/euclid.aaa/1412364368

Digital Object Identifier
doi:10.1155/2014/327070

Mathematical Reviews number (MathSciNet)
MR3212413

Zentralblatt MATH identifier
07022177

Citation

Xi, Qiang; Si, Jianguo. Existence, Uniqueness, and Stability Analysis of Impulsive Neural Networks with Mixed Time Delays. Abstr. Appl. Anal. 2014, Special Issue (2014), Article ID 327070, 14 pages. doi:10.1155/2014/327070. https://projecteuclid.org/euclid.aaa/1412364368


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