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 Cursus: 201600356
 201600356System Identification and Parameter Estimation for PDEng
 Cursus informatie Rooster
Cursus201600356
Studiepunten (ECTS)6
CursustypeCursus
VoertaalEngels
Contactpersoondr.ir. R.G.K.M. Aarts
E-mailr.g.k.m.aarts@utwente.nl
Docenten
 Docent dr.ir. R.G.K.M. Aarts Contactpersoon van de cursus dr.ir. R.G.K.M. Aarts
Collegejaar2021
Aanvangsblok
 2A
AanmeldingsprocedureZelf aanmelden via OSIRIS Student
Inschrijven via OSIRISJa
 Cursusdoelen
 body { font-size: 9pt; font-family: Arial } table { font-size: 9pt; font-family: Arial } After the course the student is able to... Describe the relations for signals and (dynamic) systems in time and frequency domain as well as conversions between continuous time and discrete time descriptions. Explain non-parametric system identification in time and frequency domain and comment on the validity of the obtained impulse response functions (IRF) and frequency response functions (FRF). Estimate parameters in models that are linear-in-the-parameters and explain the matrix formulation for the least squares estimate (LSE) and its solution with the pseudo-inverse. Describe system identification with subspace identification techniques and use these techniques to obtain models. Explain system identification with prediction error identification methods (PEM), use these methods to obtain models, explain the approximate behaviour of these methods, evaluate and validate estimated models. Design an experiment to identify a set-up, collect the data and estimate a model of the system. Estimate parameters in more advanced models, explain the identifiability of the parameters and explain the sources for errors in the estimates. Explain the approaches for identification of closed-loop systems in time and frequency domain and implement an algorithm to estimate models from frequency domain data.
 Inhoud
Voorkennis
 Mandatory: 201700125 Module Dynamic Systems, onderdeel System analysis (of equivalent).Recommended: 201700128 Module Mechatronic Design, onderdeel System and Control (of equivalent).
 Participating study
 Master Mechanical Engineering
 Participating study
 Master Systems and Control
Verplicht materiaal
Course material
 Reader “System Identification and Parameter Estimation” (in PDF) available on Canvas.
Aanbevolen materiaal
-
Werkvormen
 Lecture
Toetsen
 Written/Oral Exam + Practic. Assignments
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