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Set-theoretic input sequence design for orthonormal model identification

Author(s):

R. Pearson, P.H. Menold, F. Kraus
Conference/Journal:

IFAC Symposium on System Identification, Santa Barbara, California, USA
Abstract:

This paper considers the identification of linear approximate models subject to three sources of uncertainty: additive observation errors, multiplicative modeling errors, and truncation errors. We consider a set-theoretic formulation of this problem, using orthonormal bases to obtain effecient representations of the model dynamics, and we present criteria for ``good'' input sequences.

Year:

2000
Type of Publication:

(01)Article
Supervisor:



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% Autogenerated BibTeX entry
@InProceedings { PeaMen:2000:IFA_112,
    author={R. Pearson and P.H. Menold and F. Kraus},
    title={{Set-theoretic input sequence design for orthonormal model
	  identification}},
    booktitle={IFAC Symposium on System Identification},
    pages={},
    year={2000},
    address={Santa Barbara, California, USA},
    month=jun,
    url={http://control.ee.ethz.ch/index.cgi?page=publications;action=details;id=112}
}
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