Inverse Dynamic Models in Chaotic Systems Identification and Control Problems

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dc.contributor.authorLyubchyk, Leoniden
dc.contributor.authorGrinberg, Galinaen
dc.date.accessioned2018-06-21T09:24:42Z
dc.date.available2018-06-21T09:24:42Z
dc.date.issued2018
dc.description.abstractInverse dynamic models approach for chaotic system synchronization in the presence of uncertain parameters is considered. The problem is identifying and compensating unknown state-dependent parametric disturbance describing an unmodelled dynamics that generates chaotic motion. Based on the method of inverse model control, disturbance observers and compensators are synthesized. A control law is proposed that ensures the stabilization of chaotic system movement along master reference trajectory. The results of computational simulation of controlled Rösller attractor synchronization are also presented.en
dc.identifier.citationLyubchyk L. Inverse Dynamic Models in Chaotic Systems Identification and Control Problems [Electronic resource] / L. Lyubchyk, G. Grinberg // CEUR Workshop Proceedings. – 2018. – Vol. 2300. – Advanced Computer Information Technologies (ACIT 2018) : proc. of the Intern. Conf., Ceske Budejovice, Czech Republic, June 1-3, 2018. – Electronic text data. – Germany, 2018. – P. 34-37. – URL: http://ceur-ws.org/Vol-2300/Paper9.pdf, free (accessed 15.06.2021).en
dc.identifier.orcidhttps://orcid.org/0000-0002-0774-5414
dc.identifier.urihttps://repository.kpi.kharkov.ua/handle/KhPI-Press/36824
dc.language.isoen
dc.subjectchaotic systemen
dc.subjectsynchronizationen
dc.subjectdisturbanceen
dc.subjectidentificationen
dc.subjectinverse modelen
dc.subjectunknown-input observeren
dc.titleInverse Dynamic Models in Chaotic Systems Identification and Control Problemsen
dc.title.alternativeОбратные динамические модели в задачах идентификации и управления хаотическими системамиru
dc.typeThesisen

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