Exponential synchronization for arrays of coupled neural networks with time-delay couplings

Technical Notes and Correspondence

Abstract

This paper deals with global exponential synchronization in arrays of coupled delayed neural networks with both delayed coupling and one single delayed one. Through employing Kronecker product and convex combination technique, two novel synchronization criteria are presented in terms of linear matrix inequalities (LMIs), and these conditions are dependent on the bounds of both time-delay and its derivative. Through employing Matlab LMI Toolbox and adjusting some matrix parameters in the derived results, we can realize the design and applications of the addressed systems, which shows that our methods improve and extend those reported methods. The efficiency and applicability of the proposed results can be demonstrated by three numerical examples with simulations.

Keywords

Coupled neural networks exponential synchronization LMI approach Lyapunov-Krasovskii functional time-varying delay 

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Copyright information

© Institute of Control, Robotics and Systems and The Korean Institute of Electrical Engineers and Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  1. 1.School of Electronic Engineering and AutomationHenan Polytechnic UniversityJiaozuoHenan, China
  2. 2.School of Instrument Science and EngineeringSoutheast UniversityNanjingJiangsu, China
  3. 3.Key Laboratory of Measurement and Control of CSE (School of Automation, Southeast University)Ministry of EducationNanjingJiangsu, China

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