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Author Kosut, R.L.
Source IEEE Xplore Digital Library
Content type Text
Publisher Institute of Electrical and Electronics Engineers, Inc. (IEEE)
File Format PDF
Copyright Year ©1995
Language English
Subject Domain (in DDC) Technology ♦ Engineering & allied operations ♦ Other branches of engineering
Subject Keyword Uncertainty ♦ System identification ♦ Robust control ♦ Control design ♦ Predictive models ♦ Mathematical model ♦ Iterative methods ♦ Frequency domain analysis ♦ Data mining ♦ Military computing
Abstract It is shown that unfalsification of the standard robust control design uncertainty model is a natural replacement for system identification when the intended use of the model is robust control design. For the ARX model, the unfalsification step requires solving a set of convex programming problems, specifically LMI problems, of which ordinary least-squares is one member. The result is a tradeoff curve between model uncertainty and disturbance uncertainty. Hence, a family of models are unfalsified from the data record. The tradeoff curve is given a frequency domain interpretation via, the DFT and related computational issues are discussed.
Description Author affiliation: Integrated Syst. Inc., Santa Clara, CA, USA (Kosut, R.L.)
ISBN 0780326857
ISSN 01912216
Educational Role Student ♦ Teacher
Age Range above 22 year
Educational Use Research ♦ Reading
Education Level UG and PG
Learning Resource Type Article
Publisher Date 1995-12-13
Rights Holder Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Size (in Bytes) 627.14 kB
Page Count 6
Starting Page 3492
Ending Page 3497


Source: IEEE Xplore Digital Library