On Behavioral Model Identification
Författare
Summary, in English
This paper presents theory andalgorithms for system identification suitable for the framework of behavioral system theory. An algorithm basedon algebraic system theory and realization theory (Ho-Kalman realization) in a subspace model identification framework is presented. The novel approach taken consists of the formulation of input-output data as an impulse response model and the subsequent application of state-space realization. The method provides an approximation framework for simultaneous model identification and signal reconstruction.
Avdelning/ar
Publiceringsår
2004
Språk
Engelska
Sidor
1089-1100
Publikation/Tidskrift/Serie
Signal Processing
Volym
84
Issue
7
Dokumenttyp
Artikel i tidskrift
Förlag
Elsevier
Ämne
- Control Engineering
Nyckelord
- Time-series analysis
- System identification
- Behavioral systems
- State-space system
Status
Published
ISBN/ISSN/Övrigt
- ISSN: 0165-1684