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 :
بازگشت