Impulsive effects on stability and passivity analysis of memristor-based fractional-order competitive neural networks
© 2020 Elsevier B.V. This paper analyzes the stability and passivity problems for a class of memristor-based fractional-order competitive neural networks (MBFOCNNs) by using Caputo's fractional derivation. Firstly, impulsive effects are taken well into account and effective analysis techniques...
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Main Authors: | , , , , , |
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Format: | Journal |
Published: |
2020
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Subjects: | |
Online Access: | https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85090051072&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/70412 |
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Institution: | Chiang Mai University |
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