- Tytuł:
- Parameter estimation of MIMO two-dimensional ARMAX model based on IGLS method
- Autorzy:
-
Hayati, Zohreh
Shafieirad, Mohsen
Zamani, Iman
Amiri Mehra, Amir Hossein
Abbasi, Zohreh - Powiązania:
- https://bibliotekanauki.pl/articles/2183469.pdf
- Data publikacji:
- 2021
- Wydawca:
- Polska Akademia Nauk. Instytut Badań Systemowych PAN
- Tematy:
-
ARMAX model
discrete 2D systems
iterative identification
MIMO system
parameter estimation - Opis:
- This paper presents an iterative method for the unbiased identification of linearMultiple-InputMultiple-Output (MIMO) discrete two-dimensional (2D) systems. The system discussed here has Auto-Regressive Moving-Average model with exogenous inputs (ARMAX model). The proposed algorithm functions on the basis of the traditional Iterative Generalized Least Squares (IGLS) method. In summary, this paper proposes a two-dimensional Multiple-Input Multiple-Output Iterative Generalized Least Squares (2DMIGLS) algorithm to estimate the unknown parameters of the ARMAX model. Finally, simulation results show the efficiency and accuracy of the presented algorithm in estimating the unknown parameters of the model in the presence of colored noise.
- Źródło:
-
Control and Cybernetics; 2021, 50, 3; 303--322
0324-8569 - Pojawia się w:
- Control and Cybernetics
- Dostawca treści:
- Biblioteka Nauki
Artykuł