Lyubchyk, LeonidGrinberg, Galina2018-06-212018-06-212018Lyubchyk 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).https://repository.kpi.kharkov.ua/handle/KhPI-Press/36824Inverse 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.enchaotic systemsynchronizationdisturbanceidentificationinverse modelunknown-input observerThesishttps://orcid.org/0000-0002-0774-5414