"Exponential Synchronization of Chaotic Neural Networks with Mixed Dela" by Xiaodi Li and Martin Bohner
 

Exponential Synchronization of Chaotic Neural Networks with Mixed Delays and Impulsive Effects via Output Coupling with Delay Feedback

Abstract

In this paper, we deal with the exponential synchronization problem for a class of chaotic neural networks with mixed delays and impulsive effects via output coupling with delay feedback. The mixed delays in this paper include time-varying delays and unbounded distributed delays. by using a Lyapunov-Krasovskǐ functional, a drive-response concept and a linear matrix inequality (LMI) approach, several sufficient conditions are established that guarantee the exponential synchronization of the neural networks. Also, the estimation gains can be easily obtained. Finally, a numerical example and its simulation are given to show the effectiveness of the obtained results.

Department(s)

Mathematics and Statistics

Keywords and Phrases

chaotic neural network; drive-response conception; exponential synchronization; impulsive effects; mixed delays; output coupling

International Standard Serial Number (ISSN)

0895-7177

Document Type

Article - Journal

Document Version

Citation

File Type

text

Language(s)

English

Rights

© 2010 Elsevier, All rights reserved.

Publication Date

01 Sep 2010

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