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Optimizing prediction dynamics for robust MPC

Abstract:: A convex formulation is derived for optimizing dynamic feedback laws for constrained linear systems with polytopic uncertainty. We show that, when it exists, the maximal invariant ellipsoidal set for the plant state under a dynamic feedback law incorporating any chosen static feedback gain is equal to the maximal invariant ellipsoidal set under any linear feedback law. The dynamic controller and its associated invariant set define a computationally efficient robust model predictive control (M...
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Publication status:: Published

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APA Style

Cannon, M., & Kouvaritakis, B. (2005). Optimizing prediction dynamics for robust MPC. IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 50(11), 1892–1897.

MLA Style

Cannon, M., and B. Kouvaritakis. “Optimizing Prediction Dynamics for Robust MPC.” IEEE TRANSACTIONS ON AUTOMATIC CONTROL, vol. 50, no. 11, 2005, pp. 1892–97.

Chicago Style

Cannon, M, and B Kouvaritakis. 2005. “Optimizing Prediction Dynamics for Robust MPC.” IEEE TRANSACTIONS ON AUTOMATIC CONTROL 50 (11): 1892–97.
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Publisher copy:: 10.1109/TAC.2005.858679

Authors

+ Cannon, M More by this author

Role:

Author

+ Kouvaritakis, B More by this author

Institution:

University of Oxford

Division:

MPLS

Department:

Engineering Science

Role:

Author

Bibliographic Details

Journal:: IEEE TRANSACTIONS ON AUTOMATIC CONTROL
Volume:: 50
Issue:: 11
Pages:: 1892-1897
Publication date:: 2005-11-01
DOI:: 10.1109/TAC.2005.858679
ISSN:: 0018-9286

Item Description

Language:: English
Keywords:: constraints

dynamic feedback

predictive control

robust control

linear matrix inequalities
Pubs id:: pubs:63346
UUID:: uuid:3a4b456c-279c-4f05-aabb-fcc35cba73ad
Local pid:: pubs:63346
Source identifiers:: 63346
Deposit date:: 2012-12-19

Terms of use

Copyright date:: 2005

Licence:: Terms and Conditions of Use for Oxford University Research Archive

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