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Content Provider | IEEE Xplore Digital Library |
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Author | Rawlings, J.B. |
Copyright Year | 1999 |
Description | Author affiliation: Dept. of Chem. Eng., Wisconsin Univ., Madison, WI, USA (Rawlings, J.B.) |
Abstract | This paper provides a brief tutorial on model predictive control (MPC) theory for linear and nonlinear models. The discussion of MPC with linear models covers the topics of steady-state target calculation, infinite horizon receding horizon regulation, resolving infeasibilities caused by constraints, and state estimation and disturbance models. The section on nonlinear models briefly discusses what is desirable from a theoretical perspective and what is possible from an implementation perspective and focuses on some current efforts to bridge this gap. The paper concludes with a brief outlook for future developments in the areas of nonlinear MPC, robustness, moving horizon state estimation and MPC of hybrid systems. |
Starting Page | 662 |
Ending Page | 676 |
File Size | 1324400 |
Page Count | 15 |
File Format | |
ISBN | 0780349903 |
ISSN | 07431619 |
DOI | 10.1109/ACC.1999.782911 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 1999-06-02 |
Publisher Place | USA |
Access Restriction | Subscribed |
Rights Holder | American Automatic Control Council(AACC) |
Subject Keyword | Tutorial Predictive models Predictive control Mathematical model State estimation Feedback Chemical technology Chemical engineering Steady-state Infinite horizon |
Content Type | Text |
Resource Type | Article |
Subject | Electrical and Electronic Engineering |
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