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A computationally efficient constrained predictive control law

Abstract:
A predictive control algorithm is presented that uses a weighted sum of Linear quadaratic (LQ) optimal predictions and 'Mean Level' predictions. Each time step only a single weighting parameter is solved for using a Linear Program problem hence giving a low computational load. The controller achieves LQ-optimality when constraints are inactive, and remains feasible (under mild conditions) if constraints are active. © 1998 AACC.
Publication status:
Published

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Publisher copy:
10.1109/ACC.1998.703181

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Institution:
University of Oxford
Division:
MPLS
Department:
Engineering Science
Role:
Author
Volume:
6
Pages:
3281-3285
Host title:
PROCEEDINGS OF THE 1998 AMERICAN CONTROL CONFERENCE, VOLS 1-6
Publication date:
1998-01-01
DOI:
ISSN:
0743-1619
Source identifiers:
62687
ISBN:
0780345304
Pubs id:
pubs:62687
UUID:
uuid:c75dcc5e-b5c3-47d0-809f-eb863eda4a26
Local pid:
pubs:62687
Deposit date:
2013-11-17

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