DocumentCode :
3269302
Title :
A data driven approach to learning dynamical systems
Author :
Brugarolas, Paul B. ; Safonov, Michael G.
Author_Institution :
Jet Propulsion Lab., California Inst. of Technol., Pasadena, CA, USA
Volume :
4
fYear :
2002
fDate :
10-13 Dec. 2002
Firstpage :
4670
Abstract :
This paper presents a mathematical framework for learning (properties of a dynamical system) from experimental data via hypothesis falsification, and its application to control and system identification problems.
Keywords :
adaptive control; identification; learning systems; optimal control; control identification; data driven approach; hypothesis falsification; learning dynamical systems; system identification; Actuators; Adaptive control; Control system synthesis; Control systems; Laboratories; Mathematical model; Propulsion; Switching systems; System identification; Testing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Decision and Control, 2002, Proceedings of the 41st IEEE Conference on
ISSN :
0191-2216
Print_ISBN :
0-7803-7516-5
Type :
conf
DOI :
10.1109/CDC.2002.1185115
Filename :
1185115
Link To Document :
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