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Frisch scheme–based identification of multivariable errors–in–variables models
- Source :
- IFAC Proceedings Volumes. 42:1563-1567
- Publication Year :
- 2009
- Publisher :
- Elsevier BV, 2009.
-
Abstract
- This paper describes an identification procedure for minimally parametrized multivariable models in the Errors–in–Variables (EIV) context of the Frisch scheme that considers additive white observation noise on the process inputs and outputs. This procedure relies on the geometric approach described in (Guidorzi and Diversi, 2009) that associates EIV models to directions in the noise space. The proposed procedure has been tested by means of a Monte Carlo simulation that confirms its effectiveness.
- Subjects :
- SYSTEM IDENTIFICATION
Multivariable calculus
Monte Carlo method
System identification
Process (computing)
Context (language use)
General Medicine
MULTIVARIABLE MODELS
ERRORS–IN–VARIABLES MODELS
Identification (information)
Noise
Control theory
FRISCH SCHEME
Errors-in-variables models
Algorithm
Mathematics
Subjects
Details
- ISSN :
- 14746670
- Volume :
- 42
- Database :
- OpenAIRE
- Journal :
- IFAC Proceedings Volumes
- Accession number :
- edsair.doi.dedup.....23f84ca33f477297414e1a450870a4da