$Impulsive effects on stability and passivity analysis of memristor-based fractional-order competitive neural networks$

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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書目詳細資料
Main Authors:	G. Rajchakit, P. Chanthorn, M. Niezabitowski, R. Raja, D. Baleanu, A. Pratap
格式:	雜誌
出版:	2020
主題:	Computer Science Neuroscience
在線閱讀:	https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85090051072&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/70412
標簽:	添加標簽沒有標簽, 成為第一個標記此記錄!
機構:	Chiang Mai University

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