Szczegóły publikacji
Opis bibliograficzny
Reinforcement learning for vibration suppression of an unknown system / Ziemowit DWORAKOWSKI, Krzysztof MENDROK // W: Advances in mechanism and machine science : proceedings of the 15th IFToMM World Congress on Mechanism and Machine science : [June 30–July 4, 2019, Krakow, Poland] / ed. Tadeusz Uhl. — Cham : Springer Nature Switzerland, cop. 2019. — (Mechanisms and Machine Science ; ISSN 2211-0984 ; Vol. 73). — ISBN: 978-3-030-20130-2; e-ISBN: 978-3-030-20131-9. — S. 4045–4054. — Bibliogr., Abstr. — Publikacja dostępna online od: 2019-06-14
Autorzy (2)
Słowa kluczowe
Dane bibliometryczne
| ID BaDAP | 123487 |
|---|---|
| Data dodania do BaDAP | 2019-11-13 |
| DOI | 10.1007/978-3-030-20131-9_403 |
| Rok publikacji | 2019 |
| Typ publikacji | materiały konferencyjne (aut.) |
| Otwarty dostęp |  |
| Wydawca | Springer |
| Czasopismo/seria | Mechanisms and Machine Science |
Abstract
The article presents a novel approach to vibration suppression that can be used in cases when system under consideration is unknown. The approach is based on a reinforcement-learning of artificial neural network fed with positions and velocities of the system components. The learning routine is designed on the basis of a 1+1 evolutionary scheme with concept of persistence of efficient steps. The performance of the four variants of the algorithm is evaluated on the basis of a simulated 3-DOF system.
