Continuous-Time Identification using LQG-Balanced Model Reduction

Forskningsoutput: Kapitel i bok/rapport/Conference proceedingKonferenspaper i proceeding

Abstract

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.

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Ämnesklassifikation (UKÄ) – OBLIGATORISK

  • Reglerteknik
Originalspråkengelska
Titel på värdpublikationProceedings of the 15th IFAC world congress
FörlagElsevier
ISBN (tryckt)0-08-044184X
StatusPublished - 2002
PublikationskategoriForskning
Peer review utfördJa