DocumentCode
2606423
Title
Identification for robust control design: a comparison of set-membership and statistical methods
Author
Kosut, Robert L.
Author_Institution
Integrated Systems, Inc., Santa Clara, CA, USA
fYear
1993
fDate
3-6 May 1993
Firstpage
794
Abstract
A theory of set-membership identification and corresponding (as necessary) robust control design methods compatible with both probabilistic and deterministic plant sets is discussed. The philosophy of some of the different existing approaches is reported. Specific topics discussed within this framework include ellipsoid parameter bounds, set-membership validation, least-squares set estimation, and model sets for control design
Keywords
control system synthesis; least squares approximations; parameter estimation; robust control; statistical analysis; ellipsoid parameter bounds; least-squares set estimation; model sets; robust control design; set-membership identification; set-membership validation; statistical methods; Contracts; Ellipsoids; Maximum likelihood estimation; Noise level; Predictive models; Robust control; Statistical analysis; Stochastic resonance; Sufficient conditions; Uncertainty;
fLanguage
English
Publisher
ieee
Conference_Titel
Circuits and Systems, 1993., ISCAS '93, 1993 IEEE International Symposium on
Conference_Location
Chicago, IL
Print_ISBN
0-7803-1281-3
Type
conf
DOI
10.1109/ISCAS.1993.393842
Filename
393842
Link To Document