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Low-Complexity Poly...
Low-Complexity Polynomial Approximation of Explicit MPC via Linear Programming
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- Kvasnica, Michal (author)
- Slovak University of Technology, Slovakia
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- Löfberg, Johan, 1974- (author)
- Linköpings universitet,Reglerteknik,Tekniska högskolan
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- Herceg, Martin (author)
- Slovak University of Technology, Slovakia
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- C̆irka, L’ubos (author)
- Slovak University of Technology, Slovakia
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- Fikar, Miroslav (author)
- Slovak University of Technology, Slovakia
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(creator_code:org_t)
- 2010
- 2010
- English.
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In: Proceedings of the 2010 American Control Conference. - 9781424474264 ; , s. 4713-4718
- Related links:
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https://urn.kb.se/re...
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https://doi.org/10.1...
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Abstract
Subject headings
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- 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.
Subject headings
- TEKNIK OCH TEKNOLOGIER -- Elektroteknik och elektronik -- Reglerteknik (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Electrical Engineering, Electronic Engineering, Information Engineering -- Control Engineering (hsv//eng)
Keyword
- Linear programming
- Polynomial approximation
- Predictive control
- State feedback
- Automatic control
- Reglerteknik
Publication and Content Type
- ref (subject category)
- kon (subject category)
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