Journal of Applied Mathematics

Asymptotic Stability of Impulsive Reaction-Diffusion Cellular Neural Networks with Time-Varying Delays

Yutian Zhang

Full-text: Open access

Abstract

This work addresses the asymptotic stability for a class of impulsive cellular neural networks with time-varying delays and reaction-diffusion. By using the impulsive integral inequality of Gronwall-Bellman type and Hardy-Sobolev inequality as well as piecewise continuous Lyapunov functions, we summarize some new and concise sufficient conditions ensuring the global exponential asymptotic stability of the equilibrium point. The provided stability criteria are applicable to Dirichlet boundary condition and showed to be dependent on all of the reaction-diffusion coefficients, the dimension of the space, the delay, and the boundary of the spatial variables. Two examples are finally illustrated to demonstrate the effectiveness of our obtained results.

Article information

Source
J. Appl. Math., Volume 2012 (2012), Article ID 501891, 17 pages.

Dates
First available in Project Euclid: 15 March 2012

Permanent link to this document
https://projecteuclid.org/euclid.jam/1331817305

Digital Object Identifier
doi:10.1155/2012/501891

Mathematical Reviews number (MathSciNet)
MR2854974

Zentralblatt MATH identifier
1235.93197

Citation

Zhang, Yutian. Asymptotic Stability of Impulsive Reaction-Diffusion Cellular Neural Networks with Time-Varying Delays. J. Appl. Math. 2012 (2012), Article ID 501891, 17 pages. doi:10.1155/2012/501891. https://projecteuclid.org/euclid.jam/1331817305


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