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

• المؤلفون الرئيسيون: G. Rajchakit, P. Chanthorn, M. Niezabitowski, R. Raja, D. Baleanu, A. Pratap
• التنسيق: دورية
• منشور في: 2020
• الموضوعات: Computer Science; Neuroscience
• الوصول للمادة أونلاين: https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85090051072&origin=inward; http://cmuir.cmu.ac.th/jspui/handle/6653943832/70412

© 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...