Combined Partial Conjugate Gradient and Gradient Projection solver for MPC
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F11%3A00183145" target="_blank" >RIV/68407700:21230/11:00183145 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Combined Partial Conjugate Gradient and Gradient Projection solver for MPC
Original language description
The objective of this paper is to present fast algorithm for large scale box constrained quadratic program which arises from linear model predictive control (MPC) with hard limits on the inputs. The presented algorithm uses the combination of the gradient projection method and the partial conjugate gradient method. The special structure of the MPC problem is exploited so that the conjugate gradient method converges in a few number of iterations and the algorithm well suitable for processes with thousands of inputs and small number of outputs is obtained.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
BC - Theory and management systems
OECD FORD branch
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Result continuities
Project
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Continuities
Z - Vyzkumny zamer (s odkazem do CEZ)
Others
Publication year
2011
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
IEEE Multi-Conference on Systems and Control
ISBN
978-1-4577-1061-2
ISSN
1085-1992
e-ISSN
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Number of pages
6
Pages from-to
1270-1275
Publisher name
IEEE
Place of publication
445 Hoes Lane, Piscataway, NJ 08854-4141
Event location
Denver
Event date
Sep 28, 2011
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000297216500142