Exponential synchronization of chaotic neural networks with mixed delays and impulsive effects via output coupling with delay feedback

✍ Scribed by Xiaodi Li; Martin Bohner

• Publisher: Elsevier Science
• Year: 2010
• Tongue: English
• Weight: 998 KB
• Volume: 52
• Category: Article
• ISSN: 0895-7177
• DOI: 10.1016/j.mcm.2010.04.011

✦ Synopsis

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-Krasovskiȋ 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.