Journal of Applied Mathematics

Periodic Solutions for Shunting Inhibitory Cellular Neural Networks of Neutral Type with Time-Varying Delays in the Leakage Term on Time Scales

Yongkun Li, Lei Wang, and Yu Fei

Abstract

A class of shunting inhibitory cellular neural networks of neutral type with time-varying delays in the leakage term on time scales is proposed. Based on the exponential dichotomy of linear dynamic equations on time scales, fixed point theorems, and calculus on time scales we obtain some sufficient conditions for the existence and global exponential stability of periodic solutions for that class of neural networks. The results of this paper are completely new and complementary to the previously known results even if the time scale $\mathrm{\Bbb T}=\Bbb R$ or $\Bbb Z$. Moreover, we present illustrative numerical examples to show the feasibility of our results.

Article information

Source
J. Appl. Math., Volume 2014 (2014), Article ID 496396, 16 pages.

Dates
First available in Project Euclid: 2 March 2015

Permanent link to this document
https://projecteuclid.org/euclid.jam/1425305518

Digital Object Identifier
doi:10.1155/2014/496396

Mathematical Reviews number (MathSciNet)
MR3170445

Zentralblatt MATH identifier
07010656

Citation

Li, Yongkun; Wang, Lei; Fei, Yu. Periodic Solutions for Shunting Inhibitory Cellular Neural Networks of Neutral Type with Time-Varying Delays in the Leakage Term on Time Scales. J. Appl. Math. 2014 (2014), Article ID 496396, 16 pages. doi:10.1155/2014/496396. https://projecteuclid.org/euclid.jam/1425305518

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