Systems Modelling System Identification
Type |
Compulsory |
Semester | winter |
Contact hours | 16 |
Number of credits | 2 |
Type of termination | Report |
Form | Lectures + exercises |
Lecturers | Kan Paul van Dr Mala, Hatim MEng Poelmans Frank MSc |
Anotation |
TARGET
Data use. Parameter estimation. Sensitivity analysis. Validation
CONTENT
The student is able to demonstrate understanding of systems identification on an introductory level regarding data and model structure.
The student is able to estimate parameters in a linear systems model from real measurement data using (weighted) least-squares methods.
The student is able to evaluate a model structure based on output data and goodness of fit.
Dimensions of assessment:
• Knowledge and understanding (Analyzing)
• Applying knowledge and understanding (Design)
Study materials
• Lecturing material and hand-outs, available on Onderwijs Online
• Norman S. Nise, Control Systems Engineering, Wiley, 6th edition, 2011
• K. Keesman, System Identification, Springer, 2010






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Picnic at CTU in Prague the 28th May 2019CTU
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CTU in Prague
Coordinator of MAE
Gabriela Achtenová
gabriela.achtenova@fs.cvut.cz
IT Bandung | Head of Mechanical
Design Research Group
Andi Isra Mahyuddin
aim@ftmd.itb.ac.id
TU Chemnitz
Coordinator of MAE
Diana Lohse
diana.lohse@mb.tu-chemnitz.de
HAN in Arnhem
Masters program manager
Kea Bouwman
Kea.Bouwman@han.nl
ENSTA Bretagne
Coordinator of MAE
Yann Marco
yann.marco@ensta-bretagne.fr