Combined Gradient and Newton Projection Quadratic Programming Solver for MPC

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F11%3A00182522" target="_blank" >RIV/68407700:21230/11:00182522 - isvavai.cz</a>
Result on the web
<a href="http://www.ifac-papersonline.net/Detailed/49311.html" target="_blank" >http://www.ifac-papersonline.net/Detailed/49311.html</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.3182/20110828-6-IT-1002.02573" target="_blank" >10.3182/20110828-6-IT-1002.02573</a>

Result language
angličtina
Original language name
Combined Gradient and Newton Projection Quadratic Programming Solver for MPC
Original language description
The objective of this paper is to present an effective on-line solver for simple constrained quadratic programming (QP) which arises in linear model predictive control (MPC) framework. In MPC, the QP is solved at each sampling time, thus a fast solver must be used for short sampling times in real-time applications. The multi-parametric quadratic programming (mp-QP) approach (explicit solution) is impossible to use for larger systems due to the memory limitation. On the other hand, the presented approachis well suitable even for medium scale systems with short sampling time, since it is based on combination of gradient and Newton projection algorithm which is very close to optimum in a very few iterations and the computation of the Newton step is not involved at each iteration.
Czech name
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Czech description
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Publication year
2011
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Proceedings of the 18th IFAC World Congress, 2011
ISBN
978-3-902661-93-7
ISSN
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e-ISSN
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Number of pages
6
Pages from-to
5567-5572
Publisher name
IFAC
Place of publication
Bologna
Event location
Milano
Event date
Aug 28, 2011
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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