DocumentCode :
3109572
Title :
Optimal Control of Hybrid Systems Using Statistical Learning
Author :
Collaro, C. ; Abdallah, C.T. ; Tornambe, A. ; Dole, U.
Author_Institution :
DISP, University of Roma, Tor Vergata, Via del Politecnico 1 00133, Roma - ITALY. collaro@disp.uniroma2.it
fYear :
2005
fDate :
12-15 Dec. 2005
Firstpage :
1415
Lastpage :
1420
Abstract :
In this paper we discuss how statistical learning methods may be used to obtain solutions to various optimal control strategies for hybrid systems. The results are illustrated on the problem of autonomous navigation for mobile robots in the presence of obstacles.
Keywords :
Automata; Automatic control; Control system synthesis; Control theory; Extraterrestrial measurements; Mobile robots; Optimal control; Risk management; Robust control; Statistical learning;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Decision and Control, 2005 and 2005 European Control Conference. CDC-ECC '05. 44th IEEE Conference on
Print_ISBN :
0-7803-9567-0
Type :
conf
DOI :
10.1109/CDC.2005.1582357
Filename :
1582357
Link To Document :
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