DocumentCode :
3175369
Title :
Strategies for Computing Switching Feedback Controllers
Author :
Wernrud, Andreas
Author_Institution :
Lund Univ., Lund
fYear :
2007
fDate :
9-13 July 2007
Firstpage :
1389
Lastpage :
1394
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.
Keywords :
DC-DC power convertors; convex programming; discrete systems; dynamic programming; feedback; DC-DC converter; approximate policy iteration algorithm; convex optimization; discrete dynamical systems; optimal cost function; relaxed dynamic programming; suboptimal feedback switching controllers; switching feedback controllers; Adaptive control; Cities and towns; Control systems; Cost function; DC-DC power converters; Discrete time systems; Dynamic programming; Feedback; Optimal control; Polynomials;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
American Control Conference, 2007. ACC '07
Conference_Location :
New York, NY
ISSN :
0743-1619
Print_ISBN :
1-4244-0988-8
Electronic_ISBN :
0743-1619
Type :
conf
DOI :
10.1109/ACC.2007.4283079
Filename :
4283079
Link To Document :
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