DocumentCode
3577863
Title
Modeling a production system by parametric identification approach
Author
Rachad, Sofia ; Fouraiji, Hicham ; Bensassi, Bahloul
Author_Institution
PMMAT Lab., Hassan II Univ., Casablanca, Morocco
fYear
2014
Firstpage
402
Lastpage
406
Abstract
This paper refers to possibility of utilization a new method for modeling an industrial production system using the identification approach. The production system studied is considered as a black box, which does not require any knowledge of the internal parameters. Two structures of linear parametric models are outlined and compared i.e. Autoregressive with Exogenous (ARX) model and Autoregressive Moving Average with Exogenous (ARMAX) model. The best linear model is ARMAX, due to its higher percentage of best fit.
Keywords
autoregressive moving average processes; manufacturing systems; parameter estimation; ARMAX model; ARX model; autoregressive moving average with exogenous model; autoregressive with exogenous model; black box production system; industrial production system; linear parametric model; parametric identification approach; production system modeling; Autoregressive processes; Data models; Mathematical model; Production systems; System identification; Unified modeling language; ARMAX model; ARX model; Production system; system identification;
fLanguage
English
Publisher
ieee
Conference_Titel
Complex Systems (WCCS), 2014 Second World Conference on
Print_ISBN
978-1-4799-4648-8
Type
conf
DOI
10.1109/ICoCS.2014.7060882
Filename
7060882
Link To Document