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  4. Stochastic Control-A Moment Approach to Sparse Control Design‬
 
conference paper

Stochastic Control-A Moment Approach to Sparse Control Design‬

Kamgarpour, Maryam  
•
Summers, Tyler H.
July 2016
Proceedings of the 22nd International Symposium on Mathematical Theory of Networks and Systems
International Symposium on Mathematical Theory of Networks and Systems

We consider design of sparse controllers for a stochastic linear system with infinite horizon quadratic objective. We formulate the non-sparse optimal solution through a semidefinite program for the second order moments of the states and inputs. Given that the centralized non-sparse controller solves a linear equation in these moments, we find sparse least squares approximate solutions to this linear equation. The performance of the approach is shown with several simulations.

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Type
conference paper
Author(s)
Kamgarpour, Maryam  
Summers, Tyler H.
Date Issued

2016-07

Publisher

University of Minnesota

Publisher place

University of Minnesota

Published in
Proceedings of the 22nd International Symposium on Mathematical Theory of Networks and Systems
ISBN of the book

978-1-5323-1358-5

URL
https://hdl.handle.net/11299/181518
Editorial or Peer reviewed

REVIEWED

Written at

OTHER

EPFL units
SYCAMORE  
Event nameEvent placeEvent date
International Symposium on Mathematical Theory of Networks and Systems

University of Minnesota

2016-07

Available on Infoscience
December 1, 2021
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/183439
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