DocumentCode
313188
Title
Nonlinear uncertainty model unfalsification
Author
Kosut, Robert L.
Author_Institution
SC Solutions, Santa Clara, CA, USA
Volume
3
fYear
1997
fDate
4-6 Jun 1997
Firstpage
2098
Abstract
Uncertainty model unfalsification is discussed. In particular, it is shown how to establish a trade-off between disturbance and possibly nonlinear time-invariant dynamic uncertainty using standard prediction error modeling. Parameters defining the central model and bounds on the RMS value of the disturbance and gain of the nonlinear dynamical error can be calculated directly from finite input-output data
Keywords
identification; nonlinear systems; optimal control; optimisation; robust control; uncertain systems; identification; nonlinear dynamical error; nonlinear systems; optimisation; prediction error modeling; robust control; uncertain systems; uncertainty model unfalsification; Automatic control; Control systems; Error correction; Humans; Machine learning; Mathematical model; Predictive models; Robust control; System identification; Uncertainty;
fLanguage
English
Publisher
ieee
Conference_Titel
American Control Conference, 1997. Proceedings of the 1997
Conference_Location
Albuquerque, NM
ISSN
0743-1619
Print_ISBN
0-7803-3832-4
Type
conf
DOI
10.1109/ACC.1997.611060
Filename
611060
Link To Document