Inverse Dynamic Models in Chaotic Systems Identification and Control Problems
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Дата
2018
Автори
DOI
Науковий ступінь
Рівень дисертації
Шифр та назва спеціальності
Рада захисту
Установа захисту
Науковий керівник
Члени комітету
Видавець
Анотація
Inverse 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.
Опис
Ключові слова
chaotic system, synchronization, disturbance, identification, inverse model, unknown-input observer
Бібліографічний опис
Lyubchyk 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).