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Towards Joint State Estimation and Control in Minimax MPC
Linköping University, Department of Electrical Engineering, Automatic Control. Linköping University, The Institute of Technology.
2002 (English)In: Proceedings of the 15th IFAC World Congress, 2002, 612-612 p.Conference paper (Refereed)
Abstract [en]

A new approach to minimax MPC for systems with bounded external system disturbances and measurement errors is introduced. It is shown that joint deterministic state estimation and minimax MPC can be written as an optimization problem with linear and quadratic matrix inequalities. By linearizing the quadratic matrix inequality, a semidefinite program is obtained. A simulation study indicates that solving the joint problem can improve performance

Place, publisher, year, edition, pages
2002. 612-612 p.
Keyword [en]
Predictive control, Robust control, Robust estimation, Minimax, Convex optimization
National Category
Engineering and Technology Control Engineering
URN: urn:nbn:se:liu:diva-90277DOI: 10.3182/20020721-6-ES-1901.00614ISBN: 978-3-902661-74-6OAI: diva2:613923
15th IFAC World Congress, Barcelona, Spain, July, 2002
Available from: 2013-04-02 Created: 2013-03-24 Last updated: 2013-04-02

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Löfberg, Johan
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Automatic ControlThe Institute of Technology
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ReferencesLink to record
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