dc.contributor.author | ARIK, Sabri | |
dc.contributor.author | Saroha, Sumit | |
dc.contributor.author | Narayanan, G. | |
dc.contributor.author | ARSLAN, Emel | |
dc.contributor.author | Ali, M. Syed | |
dc.date.accessioned | 2021-03-02T16:31:30Z | |
dc.date.available | 2021-03-02T16:31:30Z | |
dc.identifier.citation | ARSLAN E., Narayanan G., Ali M. S. , ARIK S., Saroha S., "Controller design for finite-time and fixed-time stabilization of fractional-order memristive complex-valued BAM neural networks with uncertain parameters and time-varying delays", NEURAL NETWORKS, cilt.130, ss.60-74, 2020 | |
dc.identifier.issn | 0893-6080 | |
dc.identifier.other | vv_1032021 | |
dc.identifier.other | av_7347f137-26ec-4472-972c-11af58203e77 | |
dc.identifier.uri | http://hdl.handle.net/20.500.12627/3082 | |
dc.identifier.uri | https://doi.org/10.1016/j.neunet.2020.06.021 | |
dc.description.abstract | In this paper we investigate controller design problem for finite-time and fixed-time stabilization of fractional-order memristive complex-valued BAM neural networks (FMCVBAMNNs) with uncertain parameters and time-varying delays. By using the Lyapunov theory, differential inclusion theory, and fractional calculus theory, finite-time stabilization condition for fractional-order memristive complex-valued BAM neural networks and the upper bound of the settling time for stabilization are obtained. The nonlinear complex-valued activation functions are split into two (real and imaginary) components. Moreover, the settling time of fixed time stabilization, that does not depend upon the initial values, is merely calculated. A novel criterion for guaranteeing the fixed-time stabilization of FMCVBAMNNs is derived. Our control scheme achieves system stabilization within bounded time and has an advantage in convergence rate. Numerical simulations are furnished to demonstrate the effectiveness of the theoretical analysis. (C) 2020 Elsevier Ltd. All rights reserved. | |
dc.language.iso | eng | |
dc.subject | Sensory Systems | |
dc.subject | Artificial Intelligence | |
dc.subject | General Computer Science | |
dc.subject | Human-Computer Interaction | |
dc.subject | Computer Science (miscellaneous) | |
dc.subject | Computer Science Applications | |
dc.subject | Physical Sciences | |
dc.subject | Life Sciences | |
dc.subject | Computer Vision and Pattern Recognition | |
dc.subject | BİLGİSAYAR BİLİMİ, YAPAY ZEKA | |
dc.subject | Bilgisayar Bilimi | |
dc.subject | Mühendislik, Bilişim ve Teknoloji (ENG) | |
dc.subject | NEUROSCIENCES | |
dc.subject | Sinirbilim ve Davranış | |
dc.subject | Yaşam Bilimleri (LIFE) | |
dc.subject | Bilgisayar Bilimleri | |
dc.subject | Algoritmalar | |
dc.subject | Yaşam Bilimleri | |
dc.subject | Temel Bilimler | |
dc.subject | Mühendislik ve Teknoloji | |
dc.subject | Developmental Neuroscience | |
dc.subject | Cellular and Molecular Neuroscience | |
dc.subject | Cognitive Neuroscience | |
dc.subject | General Neuroscience | |
dc.subject | Neuroscience (miscellaneous) | |
dc.title | Controller design for finite-time and fixed-time stabilization of fractional-order memristive complex-valued BAM neural networks with uncertain parameters and time-varying delays | |
dc.type | Makale | |
dc.relation.journal | NEURAL NETWORKS | |
dc.contributor.department | İstanbul Üniversitesi-Cerrahpaşa , Mühendislik Fakültesi , Bilgisayar Mühendisliği Bölümü | |
dc.identifier.volume | 130 | |
dc.identifier.startpage | 60 | |
dc.identifier.endpage | 74 | |
dc.contributor.firstauthorID | 2287643 | |