Finite-Time Lag Synchronization for Memristive Mixed Delays Neural Networks with Parameter Mismatch



This paper is devoted to study the finite time lag synchronization problem of memristive mixed delays neural networks with switching jumps and parameter mismatch. The main objective of this paper is to design simple linear feedback control such as the drive response systems can realize synchronization in the finite time. Several theoretical aspects are addressed, mean Filippov differential inclusion and set-valued map. Based on the Gronwall’s inequality and properties of differential operation, a new finite time lag synchronization scheme is proposed to guarantee that coupled memristive mixed delays neural networks are in a state of lag synchronization in finite time. In addition, finite lag synchronization criteria of two identical memristive mixed delays neural networks are also considered. Finally, numerical examples are presented to illustrate the effectiveness of the our proposed theorems.


Finite-time lag synchronization Mixed delays neural networks Memristor 

Copyright information

© Springer Science+Business Media, LLC 2017

Authors and Affiliations

  • Lingzhong Zhang
    • 1
  • Yongqing Yang
    • 1
  • Fei Wang
    • 1
  • Xin Sui
    • 1
  1. 1.School of Science, Key Laboratory of Advanced Process Control for Light Industry (Ministry of Education)Jiangnan UniversityWuxiPeople’s Republic of China

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