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Constrained receding horizon predictive control for nonlinear systems

Abstract:

The paper concerns the receding horizon predictive control of constrained nonlinear systems and presents an algorithm which relies on the online solution of a simple linear program (LP). Use is made of a finite control horizon in conjunction with a terminal inequality constraint and a predicted cost that includes a terminal penalty term. The optimization procedure is based on predictions made by linearized incremental models at points of a given seed trajectory and the effects of linearizatio...

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Publication status:
Published

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Institution:
University of Oxford
Department:
Oxford, MPLS, Engineering Science
Journal:
AUTOMATICA
Volume:
38
Issue:
12
Pages:
2093-2102
Publication date:
2002-12-05
DOI:
ISSN:
0005-1098
URN:
uuid:bc6b61c4-4f2e-4303-8464-cc68fc6a9ff6
Source identifiers:
63124
Local pid:
pubs:63124

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