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Improvements in the efficiency of linear MPC

Abstract:
A model predictive control (MPC) strategy based on augmented autonomous predictions enables a highly efficient online optimization by imposing a terminal constraint at the current time. Near-optimal performance is obtained by delaying the imposition of the terminal constraint by one sampling period. However, under certain conditions the degree of optimality can be affected. An extension is proposed to remove this difficulty, yielding significant improvements in the degree of optimality, and achieving this at modest computational cost.
Publication status:
Published
Peer review status:
Peer reviewed

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Institution:
University of Oxford
Division:
MPLS
Department:
Engineering Science
Role:
Author
More by this author
Institution:
University of Oxford
Division:
MPLS
Department:
Engineering Science
Role:
Author
More by this author
Institution:
University of Oxford
Division:
MPLS
Department:
Engineering Science
Role:
Author

Contributors

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Funding agency for:
Li, S
Grant:
2008603017
Publisher:
Elsevier Publisher's website
Journal:
Automatica Journal website
Volume:
46
Issue:
1
Pages:
226-229
Publication date:
2010-01-01
DOI:
ISSN:
0005-1098
Language:
English
Keywords:
Subjects:
UUID:
uuid:049c6786-3c0f-4c49-8a6c-9aa748c91a5b
Local pid:
ora:5276
Deposit date:
2011-04-18

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