DocumentCode
313847
Title
Implementation issues in quadratic model predictive control
Author
Aoyama, Atsushi ; Bell, Geoffrey ; Walsh, Stephen P.
Author_Institution
Centre for Process Syst. Eng., Imperial Coll. of Sci., Technol. & Med., London, UK
Volume
5
fYear
1997
fDate
4-6 Jun 1997
Firstpage
3375
Abstract
Sparse methods appear to be advantageous around the largest size of quadratic model predictive control problem being tackled commercially. Such methods may therefore become significant in the near future and deserve further study. While singular value thresholding can sometimes offer robustness advantages over simple input weighting, it does not remove the need for the latter. The two methods should be viewed as complementary and be tailored to particular applications. Further work is needed to compare the methods in the presence of constraints. The two methods are compared on a 3-input 3-output heavy oil fractionator model
Keywords
multivariable control systems; optimisation; petroleum industry; predictive control; process control; robust control; 3-input 3-output heavy oil fractionator model; implementation issues; quadratic model predictive control; singular value thresholding; sparse methods; Bandwidth; Educational institutions; Equations; Optimal control; Predictive control; Predictive models; Process control; Quadratic programming; Robustness; Systems engineering and theory;
fLanguage
English
Publisher
ieee
Conference_Titel
American Control Conference, 1997. Proceedings of the 1997
Conference_Location
Albuquerque, NM
ISSN
0743-1619
Print_ISBN
0-7803-3832-4
Type
conf
DOI
10.1109/ACC.1997.612091
Filename
612091
Link To Document