Impulsive Effects on Stability and Passivity Analysis of Memristor-Based Fractional-Order Competitive Neural Networks
| dc.contributor.author | Chanthorn, P. | |
| dc.contributor.author | Niezabitowski, M. | |
| dc.contributor.author | Raja, R. | |
| dc.contributor.author | Baleanu, D. | |
| dc.contributor.author | Pratap, A. | |
| dc.contributor.author | Rajchakit, G. | |
| dc.date.accessioned | 2022-05-26T11:41:53Z | |
| dc.date.accessioned | 2025-09-18T15:44:46Z | |
| dc.date.available | 2022-05-26T11:41:53Z | |
| dc.date.available | 2025-09-18T15:44:46Z | |
| dc.date.issued | 2020 | |
| dc.description | Anbalagan, Pratap/0000-0002-5990-7315; Rajchakit, Grienggrai/0000-0001-6053-6219; Niezabitowski, Michal/0000-0003-4553-5351; Ramachandran, Raja/0000-0003-0830-4933 | en_US |
| dc.description.abstract | 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 are used to reflect the system's practically dynamic behavior. Secondly, by using the Lyapunov technique, some sufficient conditions are obtained by linear matrix inequalities (LMIs) to ensure the stability and passivity of the MBFOCNNs, which can be effectively solved by the LMI computational tool in MATLAB. Finally, two numerical models and their simulation results are given to illustrate the effectiveness of the proposed results. (C) 2020 Elsevier B.V. All rights reserved. | en_US |
| dc.description.sponsorship | Thailand Research Grant Fund [RSA6280004]; National Science Centre in Poland [DEC-2017/25/B/ST7/02888]; RUSAPhase 2.0 Grant, Policy (TN Multi-Gen), Dept. of Edn. Govt. of India [F 24-51/2014-U]; UGC-SAP (DRS-I) Grant [F.510/8/DRS-I/2016(SAP-I)]; DST-PURSE 2nd Phase programme [SR/PURSE Phase 2/38 (G)]; DST (FIST -level I) [657876570, SR/FIST/MS-I/2018/17]; Prince Sultan University through research group Nonlinear Analysis Methods in AppliedMathematics (NAMAM) [RG-DES-2017-01-17] | en_US |
| dc.description.sponsorship | This article has been written with the joint partial financial support of Thailand Research Grant Fund RSA6280004, the National Science Centre in Poland Grant DEC-2017/25/B/ST7/02888, RUSAPhase 2.0 Grant No. F 24-51/2014-U, Policy (TN Multi-Gen), Dept. of Edn. Govt. of India, UGC-SAP (DRS-I) Grant No. F.510/8/DRS-I/2016(SAP-I), DST-PURSE 2nd Phase programme vide letter No. SR/PURSE Phase 2/38 (G), DST (FIST -level I) 657876570 Grant No. SR/FIST/MS-I/2018/17 and Prince Sultan University for funding this work through research group Nonlinear Analysis Methods in AppliedMathematics (NAMAM) group number RG-DES-2017-01-17. | en_US |
| dc.identifier.citation | Rajchakit, G...et al. (2020). "Impulsive effects on stability and passivity analysis of memristor-based fractional-order competitive neural networks", Neurocomputing, Vol. 417, pp. 290-301. | en_US |
| dc.identifier.doi | 10.1016/j.neucom.2020.07.036 | |
| dc.identifier.issn | 0925-2312 | |
| dc.identifier.issn | 1872-8286 | |
| dc.identifier.scopus | 2-s2.0-85090051072 | |
| dc.identifier.uri | https://doi.org/10.1016/j.neucom.2020.07.036 | |
| dc.identifier.uri | https://hdl.handle.net/20.500.12416/14395 | |
| dc.language.iso | en | en_US |
| dc.publisher | Elsevier | en_US |
| dc.relation.ispartof | Neurocomputing | |
| dc.rights | info:eu-repo/semantics/closedAccess | en_US |
| dc.subject | Stability | en_US |
| dc.subject | Passivity | en_US |
| dc.subject | Memristor | en_US |
| dc.subject | Fractional Order | en_US |
| dc.subject | Impulsive Effects | en_US |
| dc.subject | Competitive Neural Networks | en_US |
| dc.title | Impulsive Effects on Stability and Passivity Analysis of Memristor-Based Fractional-Order Competitive Neural Networks | en_US |
| dc.title | Impulsive effects on stability and passivity analysis of memristor-based fractional-order competitive neural networks | tr_TR |
| dc.type | Article | en_US |
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| gdc.author.id | Anbalagan, Pratap/0000-0002-5990-7315 | |
| gdc.author.id | Rajchakit, Grienggrai/0000-0001-6053-6219 | |
| gdc.author.id | Niezabitowski, Michal/0000-0003-4553-5351 | |
| gdc.author.id | Ramachandran, Raja/0000-0003-0830-4933 | |
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| gdc.author.wosid | Anbalagan, Pratap/Aas-7811-2020 | |
| gdc.author.wosid | Rajchakit, Grienggrai/K-7043-2014 | |
| gdc.author.wosid | Niezabitowski, Michal/H-3407-2012 | |
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| gdc.description.department | Çankaya University | en_US |
| gdc.description.departmenttemp | [Rajchakit, G.] Maejo Univ, Fac Sci, Dept Math, Chiang Mai, Thailand; [Chanthorn, P.] Chiang Mai Univ, Res Ctr Math & Appl Math, Dept Math, Fac Sci, Chiang Mai 50200, Thailand; [Niezabitowski, M.] Silesian Tech Univ, Fac Automat Control Elect & Comp Sci, Dept Automat Control & Robot, Akad 16, PL-44100 Gliwice, Poland; [Raja, R.] Alagappa Univ, Ramanujan Ctr Higher Math, Karaikkudi 630004, Tamil Nadu, India; [Baleanu, D.] Cankaya Univ, Dept Math, TR-06530 Ankara, Turkey; [Baleanu, D.] Inst Space Sci, Magurele, Romania; [Pratap, A.] Alagappa Univ, Dept Math, Karaikkudi 630004, Tamil Nadu, India | en_US |
| gdc.description.endpage | 301 | en_US |
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