Publikationer
System Identification using LQG-Balanced Model Reduction,
Avdelning/ar:
Publiceringsår: 2002
Språk: Engelska
Sidor: 258-263
Publikation/Tidskrift/Serie: Proceedings of the 41st IEEE Conference on Decision and Control, 2002
Volym: 1
Fulltext:
Dokumenttyp: Konferensbidrag
Förlag: IEEE
Sammanfattning
System identification of linear multivariable dy-namic models based on discrete-time data can be performed using a algorithm combining linear regression and LQG-balanced model reduction. The approach is applicable also to unstable system dynamics and it provides balanced models for optimal linear prediction and control.
Disputation
Nyckelord
- Technology and Engineering
- identification
- linear quadratic Gaussian control
- linear systems
- multivariable systems
- stability statistical analysis
- prediction theory
- reduced order systems
- discrete time systems
Övrigt
IEEE Conference on Decision and Control
10-13 Dec. 2002
Las Vegas, NV, USA
Published
Yes
- ISSN: 0191-2216
- ISBN: 0-7803-7516-5
