Robustification of model predictive control
A general procedure leading to an enhancement of robustness of existing model predictive control techniques is proposed. This procedure, which considers additive modeling errors, is illustrated for the case of cautious stable predictive control. The basic idea is the augmentation of the cost functio...
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Published in | Proceedings of the 39th IEEE Conference on Decision and Control (Cat. No.00CH37187) Vol. 1; pp. 178 - 180 vol.1 |
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Main Authors | , |
Format | Conference Proceeding |
Language | English |
Published |
IEEE
2000
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Subjects | |
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Abstract | A general procedure leading to an enhancement of robustness of existing model predictive control techniques is proposed. This procedure, which considers additive modeling errors, is illustrated for the case of cautious stable predictive control. The basic idea is the augmentation of the cost function with an additional term related to a description of the nominal model uncertainty, leading either to a minimization or to a min-max optimization problem, depending on the class of error description being used. |
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AbstractList | A general procedure leading to an enhancement of robustness of existing model predictive control techniques is proposed. This procedure, which considers additive modeling errors, is illustrated for the case of cautious stable predictive control. The basic idea is the augmentation of the cost function with an additional term related to a description of the nominal model uncertainty, leading either to a minimization or to a min-max optimization problem, depending on the class of error description being used. |
Author | Salgado, M.E. Quevedo, D.E. |
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Snippet | A general procedure leading to an enhancement of robustness of existing model predictive control techniques is proposed. This procedure, which considers... |
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StartPage | 178 |
SubjectTerms | Cost function Error correction Open loop systems Predictive control Predictive models Robust control Robustness Stability Transfer functions Uncertainty |
Title | Robustification of model predictive control |
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