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Strategies for Computing Switching Feedback Controllers

Wernrud, Andreas LU (2007) American Control Conference, 2007 p.5646-5651
Abstract
We consider the problem of computing suboptimal feedback switching controllers for discrete dynamical systems. The paper shows how to combine convex optimization techniques with relaxed dynamic programming. We apply the method to several problems that have been considered recently in the literature. A particularly interesting example is given by a DC-DC converter. The proposed algorithm has several interesting properties.

The main theoretical result of this paper is the introduction of a new approximate policy iteration algorithm which is shown to converge to the optimal cost function.
Please use this url to cite or link to this publication:
author
organization
publishing date
type
Contribution to conference
publication status
published
subject
pages
5646 - 5651
conference name
American Control Conference, 2007
external identifiers
  • WOS:000252258804073
  • Scopus:46449138081
language
English
LU publication?
yes
id
613d7872-01ae-437c-8a67-35b3d0a728b1 (old id 954516)
date added to LUP
2008-01-25 09:43:17
date last changed
2016-10-13 05:01:23
@misc{613d7872-01ae-437c-8a67-35b3d0a728b1,
  abstract     = {We consider the problem of computing suboptimal feedback switching controllers for discrete dynamical systems. The paper shows how to combine convex optimization techniques with relaxed dynamic programming. We apply the method to several problems that have been considered recently in the literature. A particularly interesting example is given by a DC-DC converter. The proposed algorithm has several interesting properties.<br/><br>
The main theoretical result of this paper is the introduction of a new approximate policy iteration algorithm which is shown to converge to the optimal cost function.},
  author       = {Wernrud, Andreas},
  language     = {eng},
  pages        = {5646--5651},
  title        = {Strategies for Computing Switching Feedback Controllers},
  year         = {2007},
}