Global Exponential Stability of Pseudo Almost Periodic Solutions for SICNNs with Time-Varying Leakage DelaysReport as inadecuate




Global Exponential Stability of Pseudo Almost Periodic Solutions for SICNNs with Time-Varying Leakage Delays - Download this document for free, or read online. Document in PDF available to download.

Abstract and Applied Analysis - Volume 2014 2014, Article ID 967328, 17 pages -

Research ArticleCollege of Mathematics, Physics and Information Engineering, Jiaxing University, Jiaxing, Zhejiang 314001, China

Received 13 November 2013; Accepted 6 January 2014; Published 10 March 2014

Academic Editor: Weiming Wang

Copyright © 2014 Wentao Wang and Bingwen Liu. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

This paper is concerned with the shunting inhibitory cellular neural networks SICNNs with time-varying delays in the leakage or forgetting terms. Under proper conditions, we employ a novel argument to establish a criterion on the global exponential stability of pseudo almost periodic solutions by using Lyapunov functional method and differential inequality techniques. We also provide numerical simulations to support the theoretical result.





Author: Wentao Wang and Bingwen Liu

Source: https://www.hindawi.com/



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