DocumentCode
488200
Title
Statistical Analysis Methodology for Controller Robustness
Author
Schaper, Charles D. ; Seborg, Dale E. ; Mellichamp, Duncan A.
Author_Institution
Department of Chemical and Nuclear Engineering, University of California, Santa Barbara 93106
fYear
1990
fDate
23-25 May 1990
Firstpage
587
Lastpage
592
Abstract
A new statistical methodology is proposed to analyze feedback controllers for certain time domain robustness properties. This analysis technique uses bounds on the covariance matrix of the inputs, outputs, and state variables. An example for the robust control of a nonlinear chemical reactor is presented to demonstrate the advantages of the new analysis techniques.
Keywords
Adaptive control; Chemical analysis; Control system analysis; Control systems; Covariance matrix; Performance analysis; Robust control; Statistical analysis; Time domain analysis; White noise;
fLanguage
English
Publisher
ieee
Conference_Titel
American Control Conference, 1990
Conference_Location
San Diego, CA, USA
Type
conf
Filename
4790801
Link To Document