A Frequency Localizing Basis Function-Based IV Method for Wideband System Identification
| Autor: | Marion Gilson, James S. Welsh, Hugues Garnier |
|---|---|
| Přispěvatelé: | Centre de Recherche en Automatique de Nancy (CRAN), Université de Lorraine (UL)-Centre National de la Recherche Scientifique (CNRS), School of Electrical Engineering and Computer Science, University of Newcastle [Australia] (UoN), Centre National de la Recherche Scientifique (CNRS)-Université de Lorraine (UL) |
| Rok vydání: | 2018 |
| Předmět: |
Wideband system
0209 industrial biotechnology Noise measurement Computer science 020208 electrical & electronic engineering Bandwidth (signal processing) Monte Carlo method Instrumental variable (IV) System identification Basis function 02 engineering and technology Transfer function Frequency domain [SPI.AUTO]Engineering Sciences [physics]/Automatic Physics::Geophysics Frequency localizing basis function (FLBF) 020901 industrial engineering & automation Control and Systems Engineering 0202 electrical engineering electronic engineering information engineering Electrical and Electronic Engineering Wideband Algorithm |
| Zdroj: | IEEE Transactions on Control Systems Technology IEEE Transactions on Control Systems Technology, Institute of Electrical and Electronics Engineers, 2018, 26 (1), pp.329-335. ⟨10.1109/TCST.2016.2646320⟩ |
| ISSN: | 1558-0865 1063-6536 |
| Popis: | International audience; An instrumental variable (IV) solution for wideband frequency-domain identification is developed in this paper. One of the most successful IV approaches for time-domain data is known as the simple refined IV method for continuous-time model. The purpose of this paper is to present a numerically reliable simplified refined IV method able to identify (highly) resonant systems over a large bandwidth, from frequency-domain data. The proposed solution is to couple the iterative scheme of the IV approach with frequency localizing basis functions. To illustrate the performance of the proposed approach, a representative Monte Carlo simulation along with two experimental cases is presented. |
| Databáze: | OpenAIRE |
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