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Synchronisation control for a class of complex-valued fractional-order memristor-based delayed neural networks

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  • Dan Liu
  • Dan Ye

Abstract

In this paper, the problem of drive-response synchronisation of complex-valued fractional-order memristor-based delayed neural networks is discussed via linear feedback control method. By separating complex-valued system into two equivalent real-valued systems, and using the comparison theorem, algebraic criteria are given to ascertain the synchronisation of the considered system with single delay. Meanwhile, for the case of model with multiple delays, the corresponding sufficient conditions are also presented. Because complex-valued system can reduce to real-valued ones when the imaginary part is ignored, the proposed results of this paper generalise existing works on relevant real-valued system. Finally, the effectiveness of the obtained theoretical results is testified by two numerical examples.

Suggested Citation

  • Dan Liu & Dan Ye, 2019. "Synchronisation control for a class of complex-valued fractional-order memristor-based delayed neural networks," International Journal of Systems Science, Taylor & Francis Journals, vol. 50(10), pages 2015-2029, July.
    • Handle: RePEc:taf:tsysxx:v:50:y:2019:i:10:p:2015-2029
    DOI: 10.1080/00207721.2019.1646347
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