DocumentCode :
3634781
Title :
On the Computation of Linear Model Predictive Control Laws
Author :
Francesco Borrelli;Jaroslav Pekar;Mato Baoti?;Greg Stewart
Author_Institution :
Department of Mechanical Engineering, University of California, Berkeley, 94720-1740, USA
fYear :
2009
Firstpage :
7375
Lastpage :
7380
Abstract :
Finite-time optimal control problems with quadratic performance index for linear systems with linear constraints can be transformed into Quadratic Programs (QPs). Model Predictive Control requires the online solution of such QPs. This can be obtained by using a QP solver or evaluating the associated explicit solution. Objective of this note is to present alternative algorithms which trade off memory versus computational time differently than explicit solutions and active sets QP solvers.
Keywords :
"Computational modeling","Predictive models","Predictive control","Quadratic programming","Optimal control","Performance analysis","Linear systems","Sampling methods","Time measurement","Linear programming"
Publisher :
ieee
Conference_Titel :
Decision and Control, 2009 held jointly with the 2009 28th Chinese Control Conference. CDC/CCC 2009. Proceedings of the 48th IEEE Conference on
ISSN :
0191-2216
Print_ISBN :
978-1-4244-3871-6
Type :
conf
DOI :
10.1109/CDC.2009.5400430
Filename :
5400430
Link To Document :
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