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Linear matrix inequalities and polyhedral invariant sets in constrained robust predictive control

Abstract:

Robust predictive control in the presence of polytopic model uncertainty has been tackled through the use of linear matrix inequalities and ellipsoidal invariant sets. Earlier work in this area restricted the prediction class to state feedback and did not make use of a control horizon; furthermore the computational load in this approach was excessive. Both these problems can be overcome through the use of an autonomous but augmented system for the purposes of prediction. Recent work considere...

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Publication status:
Published

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Institution:
University of Oxford
Department:
Oxford, MPLS, Engineering Science
Publisher:
John Wiley and Sons Ltd
Journal:
INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL
Volume:
10
Issue:
13
Pages:
1079-1090
Publication date:
2000-11-05
DOI:
EISSN:
1099-1239
ISSN:
1049-8923
URN:
uuid:f073d2de-04c8-423f-8bf4-7f6355b29411
Source identifiers:
62858
Local pid:
pubs:62858

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