- Tytuł:
- On-line process identification using the Modulating Functions Method and non-asymptotic state estimation
- Autorzy:
-
Byrski, Witold
Drapała, Michał - Powiązania:
- https://bibliotekanauki.pl/articles/2175109.pdf
- Data publikacji:
- 2022
- Wydawca:
- Polska Akademia Nauk. Czytelnia Czasopism PAN
- Tematy:
-
system identification
modulating functions method
state observers
signal processing
adaptive algorithms - Opis:
- 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.
- Źródło:
-
Archives of Control Sciences; 2022, 32, 3; 535--555
1230-2384 - Pojawia się w:
- Archives of Control Sciences
- Dostawca treści:
- Biblioteka Nauki
Artykuł