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Projective synchronization of time-varying delayed neural network with adaptive scaling factors

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  • Ghosh, Dibakar
  • Banerjee, Santo

Abstract

In this work, the projective synchronization between two continuous time delayed neural systems with time varying delay is investigated. A sufficient condition for synchronization for the coupled systems with modulated delay is presented analytically with the help of the Krasovskii–Lyapunov approach. The effect of adaptive scaling factors on synchronization are also studied in details. Numerical simulations verify the effectiveness of the analytic results.

Suggested Citation

  • Ghosh, Dibakar & Banerjee, Santo, 2013. "Projective synchronization of time-varying delayed neural network with adaptive scaling factors," Chaos, Solitons & Fractals, Elsevier, vol. 53(C), pages 1-9.
    • Handle: RePEc:eee:chsofr:v:53:y:2013:i:c:p:1-9
    DOI: 10.1016/j.chaos.2013.04.007
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    Cited by:

    1. Zheng, Mingwen & Wang, Zeming & Li, Lixiang & Peng, Haipeng & Xiao, Jinghua & Yang, Yixian & Zhang, Yanping & Feng, Cuicui, 2018. "Finite-time generalized projective lag synchronization criteria for neutral-type neural networks with delay," Chaos, Solitons & Fractals, Elsevier, vol. 107(C), pages 195-203.

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