liu.seSearch for publications in DiVA
Change search
ReferencesLink to record
Permanent link

Direct link
Low-Complexity Polynomial Approximation of Explicit MPC via Linear Programming
Slovak University of Technology, Slovakia.
Linköping University, Department of Electrical Engineering, Automatic Control. Linköping University, The Institute of Technology.
Slovak University of Technology, Slovakia.
Slovak University of Technology, Slovakia.
Show others and affiliations
2010 (English)In: Proceedings of the 2010 American Control Conference, 2010, 4713-4718 p.Conference paper (Refereed)
Abstract [en]

This paper addresses the issue of the practical implementation of Model Predictive Controllers (MPC) to processes with short sampling times. Given an explicit solution to an MPC problem, the main idea is to approximate the optimal control law defined over state space regions by a single polynomial of pre-specified degree which, when applied as a state-feedback, guarantees closed-loop stability, constraint satisfaction, and a bounded performance decay. It is shown how to search for such a polynomial by solving a single linear program.

Place, publisher, year, edition, pages
2010. 4713-4718 p.
Keyword [en]
Linear programming, Polynomial approximation, Predictive control, State feedback
National Category
Control Engineering
URN: urn:nbn:se:liu:diva-95581DOI: 10.1109/ACC.2010.5531092ISBN: 978-1-4244-7426-4OAI: diva2:636218
2010 American Control Conference, Baltimore, MD, USA, 30 June-2 July, 2010
Available from: 2013-07-09 Created: 2013-07-09 Last updated: 2014-09-25

Open Access in DiVA

No full text

Other links

Publisher's full text

Search in DiVA

By author/editor
Löfberg, Johan
By organisation
Automatic ControlThe Institute of Technology
Control Engineering

Search outside of DiVA

GoogleGoogle Scholar
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

Altmetric score

Total: 23 hits
ReferencesLink to record
Permanent link

Direct link