DocumentCode
2551479
Title
Steady-state target optimization in linear model predictive control
Author
Muske, Kenneth R.
Author_Institution
Dept. of Chem. Eng., Villanova Univ., PA, USA
Volume
6
fYear
1997
fDate
4-6 Jun 1997
Firstpage
3597
Abstract
For practical model predictive control applications, a receding horizon regulator must be able to handle nonzero controlled variable targets and nonsquare systems in a consistent manner. This work presents a steady-state target optimization that determines the steady-state state and input targets for a constrained, linear, state-space regulator
Keywords
predictive control; constrained linear state-space regulator; linear model predictive control; nonsquare systems; nonzero controlled variable targets; receding horizon regulator; steady-state target optimization; Chemical engineering; Constraint optimization; Control systems; Least squares methods; Predictive control; Predictive models; Regulators; Steady-state; Target tracking; Vectors;
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.1997.609493
Filename
609493
Link To Document