DocumentCode
599263
Title
System identification of activated sludge process
Author
Huong Pei Choo ; Sahlan, Shafishuhaza ; Wahab, N.A.
Author_Institution
Fac. of Electr. Eng., UTM Malaysia, Johor Bahru, Malaysia
fYear
2012
fDate
23-26 Sept. 2012
Firstpage
137
Lastpage
140
Abstract
In this paper, an activated sludge process model is obtained using two nonlinear system identification techniques. These techniques are Nonlinear ARX Modeling and Hammerstein-Wiener Modeling. A set of raw data from an existing activated sludge process, considered as black box, two different models are obtained and compared in terms of its best fit percentage. From the result, it is concluded that the Hammerstein-Wiener Modeling technique yields better result with lower order and best fit of 91.6%.
Keywords
nonlinear equations; sludge treatment; Hammerstein-Wiener modeling; activated sludge process; black box modelling; nonlinear ARX modeling; nonlinear system identification techniques; Atmospheric modeling; Biological system modeling; Effluents; activated sludge process; nonlinear models; system identification;
fLanguage
English
Publisher
ieee
Conference_Titel
Control, Systems & Industrial Informatics (ICCSII), 2012 IEEE Conference on
Conference_Location
Bandung
Print_ISBN
978-1-4673-1022-2
Type
conf
DOI
10.1109/CCSII.2012.6470488
Filename
6470488
Link To Document