Samenvatting
Since nonlinear (NL) identification is often very time consuming, it is highly desirable to carefully select a well suited model structure prior to the actual identification. In this study the focus is on the detection of the presence of NL feedback. Therefore, the frequency response function (FRF) of the best linear approximation (BLA) is measured at different excitation signal settings. Two properties of the excitation are varied to analyze the nonlinear behavior: 1. Amplitude (RMS value) level 2. DC level (offset or set points) The goal of the study is to find out what is the best strategy to vary the excitation signal, in order to obtain information about the structure of the system. Two case studies will be presented on different NL-feedback systems.
| Originele taal-2 | English |
|---|---|
| Titel | Presentation of poster at ERNSI 2014, European Research Network on System Identification, Oostende, Belgium, September 21-24, 2014 |
| Status | Published - 21 sep. 2014 |
| Evenement | ERNSI 2014 - Thermae Palace Hotel, Ostend, Belgium Duur: 21 sep. 2014 → 24 sep. 2014 |
Workshop
| Workshop | ERNSI 2014 |
|---|---|
| Periode | 21/09/14 → 24/09/14 |
| Ander | Modelling of dynamical systems is fundamental in almost all disciplines of science and engineering, ranging from life science to plant-wide process control. Engineering uses models for the design and analysis of complex technical systems. System identification concerns the construction, estimation and validation of mathematical models of dynamical physical or engineering phenomena from experimental data. This is the 23rd version of the European Workshop on System Identification, the first one being held in Saint-Malo in 1992. All through these years the workshop has maintained the scope of bringing together European researchers in the area of System Identification, in an informal setting that gives ample opportunities for participants to meet. The workshop program is composed of lectures from invited speakers, lectures from members of the ERNSI community, and poster presentations by -particularly- the PhD students and postdocs that are active in the network. |