DocumentCode
3204980
Title
MPC-relevant identification: A case study
Author
Mohandespour, F. ; Poshtan, J.
Author_Institution
Iran Univ. of Sci. & Technol., Tehran
fYear
2007
fDate
25-28 Nov. 2007
Firstpage
1013
Lastpage
1016
Abstract
In this paper a new approach for noise model identification is studied to be used in model predictive control method. As the noise model identification tries to satisfy predictive control requirements, the method is called MPC-relevant identification.
Keywords
identification; predictive control; model predictive control method; noise model identification; system identification; Control system synthesis; Electrical equipment industry; Gaussian noise; Intelligent systems; Magnetic resonance imaging; Predictive control; Predictive models; System identification; System performance; Testing;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent and Advanced Systems, 2007. ICIAS 2007. International Conference on
Conference_Location
Kuala Lumpur
Print_ISBN
978-1-4244-1355-3
Electronic_ISBN
978-1-4244-1356-0
Type
conf
DOI
10.1109/ICIAS.2007.4658538
Filename
4658538
Link To Document