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Adaptive model predictive control with robust constraint satisfaction

Abstract:

Adaptive control for constrained, linear systems is addressed and a solution based on Model Predictive Control (MPC) and set-membership system identification is presented. The paper introduces a computationally tractable solution which uses observations of past state and input trajectories to update the model and improve control performance while maintaining guaranteed constraint satisfaction and recursive feasibility. The developed approach is applied to a stabilizing MPC scheme and practica...

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Publication status:
Published
Peer review status:
Peer reviewed
Version:
Accepted manuscript

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Publisher copy:
10.1016/j.ifacol.2017.08.512

Authors


Lorenzen, M More by this author
Allgöwer, F More by this author
More by this author
Institution:
University of Oxford
Division:
MPLS Division
Department:
Engineering Science
Oxford college:
St Johns College
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Funding agency for:
Allgöwer, F
Publisher:
Elsevier Publisher's website
Volume:
50
Issue:
1
Pages:
3313-3318
Publication date:
2017-10-18
Acceptance date:
2017-02-27
DOI:
ISSN:
2405-8963
Pubs id:
pubs:744772
URN:
uri:efcbf50f-ad5f-432d-850b-a099da780c33
UUID:
uuid:efcbf50f-ad5f-432d-850b-a099da780c33
Local pid:
pubs:744772

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