DocumentCode
489351
Title
A Time-Domain Approach to Model Validation
Author
Poolla, Kameshwar ; Khargonekar, Pramod ; Tikku, Ashok ; Krause, James ; Nagpal, Krishan
Author_Institution
Department of Mechanical Engineering, University of California, Berkeley, CA 94720, Tel. (510) 642-4642, Email: poolla@jagger.berkeley.edu
fYear
1992
fDate
24-26 June 1992
Firstpage
313
Lastpage
317
Abstract
In this paper we offer a novel approach to control-oriented model validation problems. This approach differs from other available techniques in that it directly uses time-domain input output data to validate uncertainty models. The algorithms we develop are computationally tractable and reduce to (generally non-differentiable) convex feasibility programming problems.
Keywords
Additive noise; Feedback control; Filtering; Noise measurement; Noise robustness; Predictive models; Robust control; System identification; Time domain analysis; Uncertainty;
fLanguage
English
Publisher
ieee
Conference_Titel
American Control Conference, 1992
Conference_Location
Chicago, IL, USA
Print_ISBN
0-7803-0210-9
Type
conf
Filename
4792078
Link To Document