Paper Info
Title
Optimal Control for Deterministic Hybrid Systems using Dynamic Programming
Abstract
Dynamic programming provides a method to solve hybrid optimal control problems. This contribution extends existing numerical methods originally developed for purely continuous systems, to a class of hybrid systems with autonomous as well as controlled switching behavior. The hybrid dynamics is approximated by a locally consistent discrete Markov decision process. The original optimal control problem is then reformulated for the Markov decision process and solved by standard dynamic programming methods. The convergence of the discrete approximation to the original problem is ensured. The viability of the numerical scheme is illustrated by a two gear transmission system used previously in literature.
Year
DOI
Venue
2009
10.3182/20090916-3-ES-3003.00055
IFAC Proceedings Volumes
Keywords
DocType
Volume
Optimal Control,Hybrid Systems,Markov Decision Process,Convergence
Conference
42
Issue
ISSN
Citations 
17
1474-6670
0
PageRank 
References 
Authors
0.34
0
2
Name
Order
Citations
PageRank
Matthias Rungger110513.44
Olaf Stursberg245858.41