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Continuous-Time Identification using LQG-Balanced Model Reduction

Författare:
Publiceringsår: 2002
Språk: Engelska
Publikation/Tidskrift/Serie: Proceedings of the 15th IFAC world congress
Dokumenttyp: Konferensbidrag
Förlag: Elsevier

Sammanfattning

System identification of continuous-time model 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

Övriga

Published
Yes
  • ISBN: 0-08-044184X

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