Stability conditions concerning neutral-type BAM neural networks with infinite distributed delay

Guo-Quan LiuJiangxi Province Engineering Research Center of New Energy Technology and Equipment, School of Mechanical and Electronic Engineering, East China University of Technology, Nanchang, People’s Republic of ChinaCorrespondence[email protected]
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Shu-Min ZhouJiangxi Province Engineering Research Center of New Energy Technology and Equipment, School of Mechanical and Electronic Engineering, East China University of Technology, Nanchang, People’s Republic of ChinaView further author information

Yue-Zhong LiJiangxi Province Engineering Research Center of New Energy Technology and Equipment, School of Mechanical and Electronic Engineering, East China University of Technology, Nanchang, People’s Republic of ChinaView further author information

Tong-Chen CaiJiangxi Province Engineering Research Center of New Energy Technology and Equipment, School of Mechanical and Electronic Engineering, East China University of Technology, Nanchang, People’s Republic of ChinaView further author information

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R. Suvetha, R. Anbuvithya, P. Prakash & Y.-K. Ma. (2023) A sampled-data stabilisation analysis on memristive BAM neural networks for memductance function. International Journal of Control 0:0, pages 1-11.
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Leonid Berezansky, Josef Diblík, Zdeněk Svoboda & Zdeněk Šmarda. (2023) Exponential stability criteria for linear neutral systems with applications to neural networks of neutral type. Journal of the Franklin Institute 360:1, pages 301-326.
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Stability conditions concerning neutral-type BAM neural networks with infinite distributed delay

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Stability conditions concerning neutral-type BAM neural networks with infinite distributed delay

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