Input-to-state stability analysis for memristive BAM neural networks with 
variable time delays

Zhao, Y.; Kurths, Jürgen; Duan, L.

doi:10.1016/j.physleta.2019.01.015

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Input-to-state stability analysis for memristive BAM neural networks with variable time delays

Zhao, Y., Kurths, J., Duan, L. (2019): Input-to-state stability analysis for memristive BAM neural networks with variable time delays. - Physics Letters A, 383, 11, 1143-1150.
https://doi.org/10.1016/j.physleta.2019.01.015

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Item Permalink: https://publications.pik-potsdam.de/pubman/item/item_23660 Version Permalink: https://publications.pik-potsdam.de/pubman/item/item_23660_2

Genre: Journal Article

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Creators:
Zhao, Y.¹, Author
Kurths, Jürgen², Author
Duan, L.¹, Author

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1Potsdam Institute for Climate Impact Research and Cooperation Partners, ou_persistent13
2Potsdam Institute for Climate Impact Research, ou_persistent13

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Dates: Finally published : 2019

Publication Status: Finally published

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Identifiers: DOI: 10.1016/j.physleta.2019.01.015
PIKDOMAIN: RD4 - Complexity Science
eDoc: 8814
Working Group: Network- and machine-learning-based prediction of extreme events

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Title: Physics Letters A

Source Genre: Journal

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Pages: - Volume / Issue: 383 (11) Sequence Number: - Start / End Page: 1143 - 1150 Identifier: -