Szczegóły publikacji
Opis bibliograficzny
Linear high-gain correction observer in nonlinear control / Andrzej LATOCHA // W: Advanced, contemporary control : proceedings of KKA 2020 – the 20th Polish control conference : [14-16 October, 2020], Łódź, Poland / eds. Andrzej Bartoszewicz, Jacek Kabziński, Janusz Kacprzyk. — Cham : Springer Nature Switzerland AG, cop. 2020. — (Advances in Intelligent Systems and Computing ; ISSN 2194-5357 ; vol. 1196). — ISBN: 978-3-030-50935-4; e-ISBN: 978-3-030-50936-1. — S. 689-700. — Bibliogr. s. 699-700, Abstr. — Publikacja dostępna online od: 2020-06-24
Autor
Słowa kluczowe
Dane bibliometryczne
| ID BaDAP | 129294 |
|---|---|
| Data dodania do BaDAP | 2020-07-16 |
| DOI | 10.1007/978-3-030-50936-1_58 |
| Rok publikacji | 2020 |
| Typ publikacji | materiały konferencyjne (aut.) |
| Otwarty dostęp |  |
| Wydawca | Springer |
| Czasopismo/seria | Advances in Intelligent Systems and Computing |
Abstract
The development of innovation technology requires one to provide control processes with better quality indexes. In modern control theory, the algorithms for calculating linear-quadratic regulator (LQR) for linear dynamic systems are known. The classical LQR algorithms do not take into account transport delays of the signals or uncertainty of measured values and models, which causes the task of stabilizing physical systems by classical LQR algorithm to contain significant errors which decrease quality indexes. Most control systems are non-linear, not isolated from the uncertainty of measured values and models. For this reason, in the paper the possibility of calculating a linear-quadratic regulator for non-linear systems, which will provide stability in a wider environment around the reference point for additive noise based on the high-gain disturbance correction observer, are proposed.
