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Constrained multivariable cautious stable predictive control

Abstract:

Necessary and sufficient conditions for the stability of predicted input/output trajectories form the basis of predictive control algorithms with guaranteed stability; the proof of stability derives from the fact that the resulting optimal cost of performance behaves as a stable Lyapunov function. While the single-input single-output case is in the open literature, this paper extends these concepts to the multivariable case and develops an algorithm which utilizes the largest possible class o...

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Institution:
University of Oxford
Department:
Oxford, MPLS, Engineering Science
Role:
Author
Publisher:
IEE
Journal:
IEE Conference Publication
Issue:
427 /2
Pages:
1356-1361
Publication date:
1996-01-01
ISSN:
0537-9989
URN:
uuid:45b11de7-5206-418f-909a-a50bc66102db
Source identifiers:
400546
Local pid:
pubs:400546
Language:
English

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