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