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Exponential Synchronization of Stochastic Memristive Neural Networks with Time-Varying Delays

  • Ruoxia Li
  • Xingbao GaoEmail author
  • Jinde Cao
Article
  • 12 Downloads

Abstract

This paper pays attention to the synchronization control methodology for stochastic memristive system. On the framework of Lyapunov functional, stability theory and free-weighting matrices technique, some brand-new solvability criteria are established to ensure the exponential synchronization goal of the target model. Considering the introduce of some free-weighting matrices, the obtained synchronization verdict will be much more applicable. Finally, the living example is included to show the effectiveness of the presented methodology.

Keywords

Exponential synchronization Memristive neural networks Stochastic terms Robust technique 

Notes

Compliance with ethical standards

Conflict of Interest

The authors declare that they have no conflict of interest.

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Copyright information

© Springer Science+Business Media, LLC, part of Springer Nature 2019

Authors and Affiliations

  1. 1.School of Mathematics and Information ScienceShaanxi Normal UniversityXi’anChina
  2. 2.The Jiangsu Provincial Key Laboratory of Networked Collective Intelligence, and School of MathematicsSoutheast UniversityNanjingChina

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