Lag synchronization for fractional-order memristive neural networks via period intermittent control

Original Paper

DOI: 10.1007/s11071-017-3459-4

Cite this article as:
Zhang, L., Yang, Y. & wang, F. Nonlinear Dyn (2017). doi:10.1007/s11071-017-3459-4
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Abstract

In this paper, an intermittent control scheme is adopted to deal with the synchronization problem of fractional-order memristive neural networks(FMNNs) with switching jumps mismatch. Considering the inherent characteristic of FMNNs, a fractional-order differential inequality is introduced. Based on differential inclusions theory and the properties of Mittag Leffler function, some intermittent synchronization criteria are derived. The synchronization regain which is related to order \(\alpha \), control period T and the control width \(\delta \) is discussed in details. In addition, the lag complete synchronization criteria of FMNNs with switching jumps match are also obtained by period intermittent control. Finally, numerical simulations are presented to verify the effectiveness of the theoretical analysis.

Keywords

Lag synchronization Fractional-order memristive neural networks Switching jumps mismatch 

Copyright information

© Springer Science+Business Media Dordrecht 2017

Authors and Affiliations

  1. 1.School of Science, Institute of AutomationJiangnan UniversityWuxiPeople’s Republic of China

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