Szczegóły publikacji
Opis bibliograficzny
On-line process identification using the Modulating Functions Method and non-asymptotic state estimation / Witold BYRSKI, Michał DRAPAŁA // Archives of Control Sciences ; ISSN 1230-2384. — 2022 — vol. 32 no. 3, s. 535-555. — Bibliogr. s. 553–555, Abstr.
Autorzy (2)
Słowa kluczowe
Dane bibliometryczne
| ID BaDAP | 142951 |
|---|---|
| Data dodania do BaDAP | 2022-10-12 |
| Tekst źródłowy | URL |
| DOI | 10.24425/acs.2022.142845 |
| Rok publikacji | 2022 |
| Typ publikacji | artykuł w czasopiśmie |
| Otwarty dostęp |  |
| Creative Commons | |
| Czasopismo/seria | Archives of Control Sciences |
Abstract
The paper presents an iterative identification method dedicated for industrial processes. The method consists of two steps. In the first step a MISO system is identified with the Modulating Functions Method to obtain sub-models with a common denominator. In the second step the obtained subsystems are re-identified. This procedure enables to obtain the set of models with different denominators of the transfer functions. The algorithm was used for on-line identification of a glass conditioning process. Identification window is divided into intervals in which the models can be updated based on recent process data with the use of the integral state observer. Results of the performed simulations for the identified models are compared with the historical process data.