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

Abstract:

Robust predictive control 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 considered the use of a control horizon and polyhedral s...

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Institution:
University of Oxford
Division:
MPLS
Department:
Engineering Science
Role:
Author
Publisher:
IEEE
Journal:
Proceedings of the American Control Conference
Volume:
1
Pages:
657-661
Publication date:
1999-01-01
ISSN:
0743-1619
Language:
English
Pubs id:
pubs:400543
UUID:
uuid:3ffd0c0b-9ff1-4082-a209-a2cf19143489
Local pid:
pubs:400543
Source identifiers:
400543
Deposit date:
2013-11-17

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