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  4. Solving the infinite-horizon constrained LQR problem using splitting techniques
 
conference paper

Solving the infinite-horizon constrained LQR problem using splitting techniques

Stathopoulos, Georgios  
•
Korda, Milan  
•
Jones, Colin N.  
2014
IFAC Proceedings Volumes
19th IFAC World Congress

This paper presents a method to solve the constrained infinite-time linear quadratic regulator (LQR) problem. We use an operator splitting technique, namely the alternating minimization algorithm (AMA), to split the problem into an unconstrained LQR problem and a projection step, which are solved repeatedly, with the solution of one influencing the other. The first step amounts to the solution of a system of linear equations (with the possibility to pre-factor) and the second step is a simple clipping. Therefore, each step can be carried out efficiently. The scheme is proven to converge to the solution to the infinite-time constrained LQR problem and is illustrated by numerical examples.

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Type
conference paper
DOI
10.3182/20140824-6-ZA-1003.00650
Author(s)
Stathopoulos, Georgios  
Korda, Milan  
Jones, Colin N.  
Date Issued

2014

Publisher

Elsevier

Published in
IFAC Proceedings Volumes
Volume

47

Issue

3

Start page

2285

End page

2290

Subjects

Constrained LQR

•

Alternating minimization

•

Operator splitting

Editorial or Peer reviewed

REVIEWED

Written at

EPFL

EPFL units
LA3  
Event nameEvent place
19th IFAC World Congress

Cape Town, South Africa

Available on Infoscience
February 7, 2018
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/144678
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