liu.seSearch for publications in DiVA
Change search
ReferencesLink to record
Permanent link

Direct link
On Model Reduction in Systems Identification
Linköping University, Department of Electrical Engineering, Automatic Control. Linköping University, The Institute of Technology.
1986 (English)In: Proceedings of the 1986 American Control Conference, 1986, 1260-1266 p.Conference paper (Refereed)
Abstract [en]

In this paper we will study how to use model reduction in system identification. We propose an identification algorithm based on the least squares identification method and either of the three model reduction techniques: Frequency weighted L2 model reduction, model reduction via a frequency weighted balanced realization or frequency weighted optimal Hankel-norm model reduction. The frequency weighted L2 model reduction is optimal in a minimum variance sense, while the advantage of the two other model reduction techniques is that a consistent identification algorithm with closed form solution is obtained.

Place, publisher, year, edition, pages
1986. 1260-1266 p.
Keyword [en]
Model reduction, System identification, Hankel-norm
National Category
Control Engineering
URN: urn:nbn:se:liu:diva-100762OAI: diva2:663447
1986 American Control Conference, Seattle, WA, USA, 18-20 June, 1986
Available from: 2013-11-11 Created: 2013-11-11 Last updated: 2013-11-11

Open Access in DiVA

No full text

By organisation
Automatic ControlThe Institute of Technology
Control Engineering

Search outside of DiVA

GoogleGoogle Scholar
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

Total: 4 hits
ReferencesLink to record
Permanent link

Direct link