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Non-fragile <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:msub> <mml:mrow> <mml:mi>L</mml:mi> </mml:mrow> <mml:mrow> <mml:mn>2</mml:mn> </mml:mrow> </mml:msub> <mml:mo>−</mml:mo> <mml:msub> <mml:mrow> <mml:mi>L</mml:mi> </mml:mrow> <mml:mrow> <mml:mo>∞</mml:mo> </mml:mrow> </mml:msub> </mml:math> synchronization for chaotic time-delay neural networks with semi-Markovian jump parameters

Crossref DOI link: https://doi.org/10.1088/1402-4896/ab4924

Published Online: 2020-02-05

Published Print: 2020-03-01

Update policy: https://doi.org/10.1088/crossmark-policy

Authors

Zhou, Youmei

Wang, Yuan

Kong, Qingkai

Zhou, Jianping https://orcid.org/0000-0002-7024-1227
Wang, Zhen
Funding

Funding for this research was provided by:

National Natural Science Foundation of China (61503002)
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Text and Data Mining valid from 2020-02-05
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Article Title: Non-fragile L 2 − L ∞ synchronization for chaotic time-delay neural networks with semi-Markovian jump parameters

Journal Title: Physica Scripta

Article Type: paper

Copyright Information: © 2020 IOP Publishing Ltd. All rights, including for text and data mining, AI training, and similar technologies, are reserved.

Publication dates

Date Received: 2019-06-23

Date Accepted: 2019-09-30

Online publication date: 2020-02-05

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