Global Exponential Stability of Pseudo Almost Periodic Solutions for SICNNs with Time-Varying Leakage Delays

Joint Authors

Liu, Bingwen
Wang, Wentao

Source

Abstract and Applied Analysis

Issue

Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-17, 17 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2014-03-10

Country of Publication

Egypt

No. of Pages

17

Main Subjects

Mathematics

Abstract EN

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.

American Psychological Association (APA)

Wang, Wentao& Liu, Bingwen. 2014. Global Exponential Stability of Pseudo Almost Periodic Solutions for SICNNs with Time-Varying Leakage Delays. Abstract and Applied Analysis،Vol. 2014, no. 2014, pp.1-17.
https://search.emarefa.net/detail/BIM-1015167

Modern Language Association (MLA)

Wang, Wentao& Liu, Bingwen. Global Exponential Stability of Pseudo Almost Periodic Solutions for SICNNs with Time-Varying Leakage Delays. Abstract and Applied Analysis No. 2014 (2014), pp.1-17.
https://search.emarefa.net/detail/BIM-1015167

American Medical Association (AMA)

Wang, Wentao& Liu, Bingwen. Global Exponential Stability of Pseudo Almost Periodic Solutions for SICNNs with Time-Varying Leakage Delays. Abstract and Applied Analysis. 2014. Vol. 2014, no. 2014, pp.1-17.
https://search.emarefa.net/detail/BIM-1015167

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1015167