H Identification of Multivariable Systems by Tangential Interpolation Methods

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalpeer-review

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Author(s)

  • Jie Chen
  • Jay A. Farrell
  • Carl N. Nett
  • Kemin Zhou

Detail(s)

Original languageEnglish
Pages (from-to)1822-1828
Journal / PublicationIEEE Transactions on Automatic Control
Volume41
Issue number12
Publication statusPublished - Dec 1996
Externally publishedYes

Abstract

The purpose of this paper is to present an extension to some of the current work on worst-case identification problems to multivariable systems. We consider an H-identification problem for a class of linear shift invariant multi-input/multi-output systems. Our main results are an interpolatory algorithm and a number of bounds on the identification error. This algorithm operates on available input and output data in the time domain and is constructed by solving an extended matrix tangential Carathéodory-Fejér problem. Similar to its counterpart for scalar systems, this interpolatory algorithm possesses certain desirable optimality properties and can be obtained via standard convex programming methods.

Citation Format(s)

H Identification of Multivariable Systems by Tangential Interpolation Methods. / Chen, Jie; Farrell, Jay A.; Nett, Carl N.; Zhou, Kemin.

In: IEEE Transactions on Automatic Control, Vol. 41, No. 12, 12.1996, p. 1822-1828.

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalpeer-review