Marine Predators Algorithm Based Stable Approximants Of Linear-Time Invariant Continuous-Time Systems.
In this article, a novel amalgamated model reduction method is proposed to simplify complex continuous-time systems using the Marine predators optimization algorithm (MPOA). The suggested approach guarantees the stability of the approximant since the stability equation approach is assimilated with M...
| Publicado en: | Journal of Namibian Studies Vol. 33; pp. 3881 - 3905 |
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| Autores principales: | , , |
| Formato: | Artículo |
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Society of Cultural Studies & Social Sciences
2023 Supplement
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=hlh&AN=172998471&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 172998471 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: 18635954 G5EZ jtl: Journal of Namibian Studies issn: 18635954 maglogo: N pubinfo: dt: 2023 Supplement vid: 33 pid: 92471 pub: Society of Cultural Studies & Social Sciences artinfo: ui: 172998471 ppf: 3881 ppct: 24 formats: tig: atl: Marine Predators Algorithm Based Stable Approximants Of Linear-Time Invariant Continuous-Time Systems. aug: au: Singh, Chhabindra Nath Gehlaut, Shekhar Gupta, Akhilesh Kumar affil: Department of Electrical Engineering, Harcourt Butler Technical University, Kanpur-208002, India. Department of Electrical Engineering, Motilal Nehru National Institute of Technology Allahabad, Prayagraj-211004, India. Department of Electrical Engineering, BNCET, Lucknow, India. su: Optimization algorithms Algorithms Metaheuristic algorithms sug: subj: Optimization algorithms Algorithms Metaheuristic algorithms keyword: Continuous-time systems Marine Predators Optimization Algorithm Model order reduction Performance indices ab: In this article, a novel amalgamated model reduction method is proposed to simplify complex continuous-time systems using the Marine predators optimization algorithm (MPOA). The suggested approach guarantees the stability of the approximant since the stability equation approach is assimilated with MPOA. To prove the efficacy of the proposed method two case studies are considered. Additionally, this study includes a comparative examination of the dynamic responses and performance indices to support the superiority of the proposed method in comparison to existing approaches. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: Y dt: @attributes: year: 2023 holdings: @attributes: islocal: N |
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