Optimal spectral resolution in system identification
| Autor: | T. V. Breikin, G.G. Kulikov, Valentin Arkov |
|---|---|
| Rok vydání: | 2003 |
| Předmět: |
Computer science
business.industry Resolution (electron density) System identification Variance (accounting) Computer graphics Identification (information) Control and Systems Engineering A priori and a posteriori Computer vision Spectral analysis Artificial intelligence Electrical and Electronic Engineering Spectral resolution business Algorithm |
| Zdroj: | Automatica. 39:661-668 |
| ISSN: | 0005-1098 |
| DOI: | 10.1016/s0005-1098(02)00277-7 |
| Popis: | An optimisation approach to dynamic model identification is considered for frequency-response techniques. Identification accuracy is provided via optimal spectral resolution using a priori information. The optimal resolution is sought at each frequency using computer graphics in order to provide a compromise between bias and variance of the spectral estimates. The estimation procedure is demonstrated with simulation examples. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|
Full Text from ScienceDirect