NDLI: Iterative unfalsified adaptive control: analysis of the disturbance-free case

Content Provider	IEEE Xplore Digital Library
Author	Kosut, R.L.
Copyright Year	1999
Description	Author affiliation: SC Solutions Inc., Santa Clara, CA, USA (Kosut, R.L.)
Abstract	The paradigm of classical linear system identification is to assume that the system generating the data belongs to an uncertainty model set consisting of unknown transfer function coefficients and unknown noise variances. However, this uncertainty model set does not provide a means for estimating the size of the unmodeled dynamics, although formulae exist for large data length and large model order]. A philosophical shift from identification to unfalsification allows the uncertainty model set to include dynamic uncertainty with an unknown bound which can be estimated (unfalsified) along with the usual system identification parameters. We examine the use of uncertainty model unfalsification for direct and indirect iterative adaptive control. Specifically, we analyze three approaches to iterative adaptive control: (1) indirect control design via classical system identification, (2) indirect control design via plant uncertainty model unfalsification, and (3) direct controller unfalsification. Each approach is analyzed under the same simplifying assumptions: infinite data, the plant is linear-time-invariant and disturbance-free, and the iterative controller is also linear-time-invariant.
Starting Page	566
Ending Page	570
File Size	431099
Page Count	5
File Format	PDF
ISBN	0780349903
ISSN	07431619
DOI	10.1109/ACC.1999.782891
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1999-06-02
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	American Automatic Control Council(AACC)
Subject Keyword	Adaptive control Computer aided software engineering Uncertainty Transfer functions Iterative methods Control design Control systems Linear systems Noise generators System identification
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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