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Bipartite synchronization of fractional-order coupled neural networks with memristor and quantized pinning control under communication delay

Publication Type : Journal Article

Publisher : American Institute of Mathematical Sciences (AIMS)

Source : Mathematical Modelling and Control

Url : https://doi.org/10.3934/mmc.2026004

Campus : Coimbatore

School : School of Physical Sciences

Department : Mathematics

Year : 2026

Abstract : This research studied bipartite leader and leaderless synchronization of fractional-order communication delay in coupled memristor neural networks by utilizing the decoupling approach and the Laplace transform. Further, the synchronization was analyzed under delay-independent criteria. Finally, numerical examples were provided to show the effectiveness of theoretical parts.

Cite this Research Publication : Paulraj Babu Dhivakaran, , Arumugam Vinodkumar, Jehad Alzabut, , , , Bipartite synchronization of fractional-order coupled neural networks with memristor and quantized pinning control under communication delay, Mathematical Modelling and Control, American Institute of Mathematical Sciences (AIMS), 2026, https://doi.org/10.3934/mmc.2026004

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