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Nonlinear model predictive control with polytopic invariant sets

Abstract:

Ellipsoidal invariant sets have been widely used as target sets in model predictive control (MPC). These sets can be computed by constructing appropriate linear difference inclusions together with additional constraints to ensure that the ellipsoid lies within a given inclusion polytope. The choice of inclusion polytope has a significant effect on the size of the target ellipsoid, but the optimal inclusion polytope cannot in general be computed systematically. This paper shows that use of pol...

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Publication status:
Published

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Institution:
University of Oxford
Department:
Oxford, MPLS, Engineering Science
Role:
Author
Journal:
AUTOMATICA
Volume:
39
Issue:
8
Pages:
1487-1494
Publication date:
2003-08-05
DOI:
ISSN:
0005-1098
URN:
uuid:4f0dd1df-d127-43c9-b9c1-4d11a3ef8b74
Source identifiers:
63223
Local pid:
pubs:63223

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