DocumentCode
504526
Title
A new prediction error identification method for multi-input-multi-output processes
Author
Cheon, YuJin ; Jeon, Chunho ; Lee, Changkyu ; Lee, Jietae ; Sung, Su Whan
Author_Institution
Dept. of Chem. Eng., Kyungpook Nat. Univ., Daegu, South Korea
fYear
2009
fDate
18-21 Aug. 2009
Firstpage
2784
Lastpage
2787
Abstract
A new prediction error identification method is proposed to identify multi-input-multi-output (MIMO) processes and the initial state. It linearizes the model output with respect to the model parameters so that optimal model parameters can be obtained in an analytic way. And, it has potential to provide a faster convergence rate and a better local minimum in solving the nonlinear optimization problem.
Keywords
MIMO systems; error analysis; optimisation; multi-input-multi-output processes; optimal model parameters; prediction error identification method; Chemical engineering; Chemical industry; Convergence; Least squares methods; Mathematical model; Newton method; Optimization methods; Predictive models; Recursive estimation; System identification; Linearization; Optimization; Prediction error identification;
fLanguage
English
Publisher
ieee
Conference_Titel
ICCAS-SICE, 2009
Conference_Location
Fukuoka
Print_ISBN
978-4-907764-34-0
Electronic_ISBN
978-4-907764-33-3
Type
conf
Filename
5333927
Link To Document