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System Identification using LQG-Balanced Model Reduction,

Författare:
Publiceringsår: 2002
Språk: Engelska
Sidor: 258-263
Publikation/Tidskrift/Serie: Proceedings of the 41st IEEE Conference on Decision and Control, 2002
Volym: 1
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

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