Title :
MPC-relevant identification: A case study
Author :
Mohandespour, F. ; Poshtan, J.
Author_Institution :
Iran Univ. of Sci. & Technol., Tehran
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;
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
DOI :
10.1109/ICIAS.2007.4658538
