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Approximations of Closed-Loop Minimax MPC
Linköping University, Department of Electrical Engineering, Automatic Control. Linköping University, The Institute of Technology.
2003 (English)In: Proceedings of the 42nd IEEE Conference on Decicion and Control, 2003, 1438-1442 vol.2 p.Conference paper (Refereed)
Abstract [en]

Minimax or worst-case approaches have been used frequently recently in model predictive control (MPC) to obtain control laws that are less sensitive to uncertainty. The problem with minimax MPC is that the controller can become overly conservative. An extension to minimax MPC that can resolve this problem is closed-loop minimax MPC. Unfortunately, closed-loop minimax MPC is essentially an intractable problem. In this paper, we introduce a novel approach to approximate the solution to anumber of closed-loop minimax MPC problems. The result is convex optimization problems with size growing polynomially in system dimension and prediction horizon.

Place, publisher, year, edition, pages
2003. 1438-1442 vol.2 p.
Keyword [en]
Predictive control, Optimal control, Control of uncertain systems
National Category
Engineering and Technology Control Engineering
URN: urn:nbn:se:liu:diva-90318DOI: 10.1109/CDC.2003.1272813ISBN: 0-7803-7924-1OAI: diva2:613615
42nd IEEE Conference on Decision and Control, Maui, HI, USA, December, 2003
Available from: 2013-03-29 Created: 2013-03-24 Last updated: 2013-03-29

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Löfberg, Johan
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ReferencesLink to record
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