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Neural Processing Letters

, Volume 49, Issue 1, pp 103–119 | Cite as

Global Exponential Synchronization of Memristive Competitive Neural Networks with Time-Varying Delay via Nonlinear Control

  • Shuqing Gong
  • Shaofu Yang
  • Zhenyuan GuoEmail author
  • Tingwen Huang
Article

Abstract

This paper investigates the synchronization problem of memristive competitive neural networks (MCNNs) with time-varying delay. Firstly, a novel nonlinear controller with a linear diffusive term and a discontinuous sign function term is introduced. Then, by using this controller, several sufficient conditions for global exponential synchronization of MCNNs are presented based on Lyapunov stability theory and some inequality techniques. Finally, two illustrative examples are provided to substantiate the effectiveness of the obtained theoretical results.

Keywords

Global exponential synchronization Memristive Competitive neural network Time-varying delay Nonlinear controller 

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Copyright information

© Springer Science+Business Media, LLC, part of Springer Nature 2018

Authors and Affiliations

  1. 1.College of Mathematics and EconometricsHunan UniversityChangshaChina
  2. 2.School of Computer Science and EngineeringSoutheast UniversityNanjingChina
  3. 3.Science ProgramTexas A&M University at QatarDohaQatar

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