H∞ Identification of Multivariable Systems by Tangential Interpolation Methods
Research output: Journal Publications and Reviews (RGC: 21, 22, 62) › 21_Publication in refereed journal › peer-review
Author(s)
Detail(s)
| Original language | English |
|---|---|
| Pages (from-to) | 1822-1828 |
| Journal / Publication | IEEE Transactions on Automatic Control |
| Volume | 41 |
| Issue number | 12 |
| Publication status | Published - Dec 1996 |
| Externally published | Yes |
Link(s)
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 journal › peer-review
