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Journal article

Non-linear model based predictive control

Abstract:
Linearization, interpolation and end-point constraints are combined to derive a receding horizon predictive control algorithm for continuous-time non-linear systems which are subject to input constraints. The algorithm makes extensive use of the `tail' of input output state trajectories, namely the extension to current time of trajectories computed at the previous time instant. Through this device, the algorithm has guaranteed feasibility and stability and has some desirable attributes with respect to dynamic performance. The results of the paper are illustrated by a model of a coupled tank system.
Publication status:
Published

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Publisher copy:
10.1080/002071799220650

Authors


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Institution:
University of Oxford
Division:
MPLS
Department:
Engineering Science
Role:
Author


Publisher:
Taylor and Francis Ltd
Journal:
INTERNATIONAL JOURNAL OF CONTROL More from this journal
Volume:
72
Issue:
10
Pages:
919-928
Publication date:
1999-07-10
DOI:
EISSN:
1366-5820
ISSN:
0020-7179


Language:
English
Pubs id:
pubs:62811
UUID:
uuid:b887fd00-a54d-48e5-965c-47ad8ee07a35
Local pid:
pubs:62811
Source identifiers:
62811
Deposit date:
2012-12-19

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