DocumentCode :
1342007
Title :
Tutorial overview of model predictive control
Author :
Rawlings, James B.
Author_Institution :
Dept. of Chem. Eng., Wisconsin Univ., Madison, WI, USA
Volume :
20
Issue :
3
fYear :
2000
fDate :
6/1/2000 12:00:00 AM
Firstpage :
38
Lastpage :
52
Abstract :
The paper provides a reasonably accessible and self-contained tutorial exposition on model predictive control (MPC). It is aimed at readers with control expertise, particularly practitioners, who wish to broaden their perspective in the MPC area of control technology. We introduce the concepts, provide a framework in which the critical issues can be expressed and analyzed, and point out how MPC allows practitioners to address the trade-offs that must be considered in implementing a control technology
Keywords :
control engineering education; linear systems; nonlinear systems; optimal control; predictive control; state estimation; state feedback; linear models; model predictive control; nonlinear models; optimal control; state estimation; state feedback; tutorial; Electrical equipment industry; Filtering theory; Linear systems; Nonlinear filters; Open loop systems; Predictive control; Predictive models; Programmable control; Regulators; Tutorial;
fLanguage :
English
Journal_Title :
Control Systems, IEEE
Publisher :
ieee
ISSN :
1066-033X
Type :
jour
DOI :
10.1109/37.845037
Filename :
845037
Link To Document :
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