Course contents *
Types of models, physics/ mechanics/ electronics- overview, model simplifications, object oriented modelling, disturbance and disturbance models, parameter estimation, system identification for modelling.
Intended learning outcomes *
After completed course the student should be able to derive mathematical models for technical systems based on fundamental physical relations and based on measurement data.
In particular, after completing the course the student should be able to:
- Derive mathematical models of technical systems based on fundamental physical relations.
- Employ systematic and object- oriented based modelling tools to develop models of systems with subparts from different physical domains.
- Describe how differential-algebraic equations (DAEs) arise in modelling of technical systems.
- Estimate impulse and frequency responses as well as transfer- functions for linear systems based on measured input and output data.
- Analyze the statistical properties of basic estimation methods, and explain the practical consequences of these results.
- Choose appropriate experimental conditions to collect data for system identification.
- Use the most common methods for model validation against experimental data.
Lectures, Exercises, Labs
LAB1 - Laboratory Work, 0.5, grade scale: P, F
LAB2 - Laboratory Work, 0.5, grade scale: P, F
LAB3 - Laboratory Work, 2, grade scale: P, F
TEN1 - Examination, 4.5, grade scale: A, B, C, D, E, FX, F