DocumentCode
2256784
Title
Convex optimization in robust identification of nonlinear feedback
Author
Megretski, Alexandre
Author_Institution
EECS, MIT, MA, USA
fYear
2008
fDate
9-11 Dec. 2008
Firstpage
1370
Lastpage
1374
Abstract
A nonlinear system identification setup is formulated as a task of finding a stable feedback system of fixed complexity providing the best robust fit for a given set of input-output data. New techniques, based on incremental passivity, are proposed for casting such problems in a format which allows application of efficient convex optimization engines. Case studies of specific implementations of the approach are provided.
Keywords
convex programming; feedback; identification; nonlinear systems; convex optimization; incremental passivity; nonlinear feedback; nonlinear system identification; robust identification; Casting; Control systems; Equations; Feedback; Nonlinear control systems; Nonlinear systems; Robust control; Robustness; System identification; Virtual manufacturing;
fLanguage
English
Publisher
ieee
Conference_Titel
Decision and Control, 2008. CDC 2008. 47th IEEE Conference on
Conference_Location
Cancun
ISSN
0191-2216
Print_ISBN
978-1-4244-3123-6
Electronic_ISBN
0191-2216
Type
conf
DOI
10.1109/CDC.2008.4739470
Filename
4739470
Link To Document