Frequency domain weighted nonlinear least squares estimation of parameter-varying differential equations
| Autor: | John Lataire, Rik Pintelon, Ebrahim Louarroudi, Jan Goos |
|---|---|
| Přispěvatelé: | Faculty of Engineering, Electricity |
| Jazyk: | angličtina |
| Rok vydání: | 2017 |
| Předmět: |
Identification methods
0209 industrial biotechnology Differential equation 020208 electrical & electronic engineering Scheduling (production processes) Estimator 02 engineering and technology Signal Identification (information) Linear parameter-varying systems 020901 industrial engineering & automation Control theory Control and Systems Engineering Frequency domain 0202 electrical engineering electronic engineering information engineering Applied mathematics Nonlinear least squares estimation Electrical and Electronic Engineering Engineering sciences. Technology Mathematics |
| Zdroj: | Automatica |
| ISSN: | 0005-1098 |
| Popis: | This paper presents a frequency domain identification technique for estimation of Linear Parameter-Varying (LPV) differential equations. In a band-limited setting, it is shown that the time derivatives of the input and output signals can be computed exactly in the frequency domain, even for non-periodic inputs and parameter variations. The method operates in an errors-in-variables framework (noisy input and output), but the scheduling signal is assumed to be known. Under these conditions, the proposed estimator is proven to be consistent. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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