EL1820 Modelling of Dynamical Systems 6.0 credits
Modellering av dynamiska system
The course teaches systematic method for building mathematical models of technical systems from basic physical relations and measured data.
Educational level
First cycleAcademic level (A-D)
CSubject area
Electrical Engineering
Techonology
Grade scale
A, B, C, D, E, FX, F
Course offerings
Autumn 13 for programme students
Periods
Autumn 13 P1 (6.0 credits)
Application code
50409Start date
2013 week: 36End date
2013 week: 44Language of instruction
EnglishCampus
KTH CampusNumber of lectures
24 (preliminary)Number of exercises
18 (preliminary)Tutoring time
DaytimeForm of study
NormalNumber of places
No limitationSchedule
Schedule (new window)Course responsible
Cristian Rojas <crro@kth.se>
Teacher
Cristian Rojas <crro@kth.se>
Target group
Science without Borders
Part of programme
Autumn 13 for programme students
Periods
Autumn 13 P1 (6.0 credits)
Application code
50983Start date
2013 week: 36End date
2013 week: 44Language of instruction
EnglishCampus
KTH CampusNumber of lectures
24 (preliminary)Number of exercises
18 (preliminary)Tutoring time
DaytimeForm of study
NormalNumber of places
No limitationSchedule
Schedule (new window)Course responsible
Cristian Rojas <crro@kth.se>
Teacher
Cristian Rojas <crro@kth.se>
Target group
open for all programs
Part of programme
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 bond graph 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, and determine the index of a given DAE model.
- Choose a proper numerical solver and its parameters for effective simulation of a given problem.
- 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 agains experimental data.
Course main content
Types of models, physics/ mechanics/ electronics- overview, model somplifications, bond graphs, object oriented modelling, disturbance and disturbance models, non- parametric identification, parameter estimation, system identification for modelling.
Simulation: numerical errors, computer simulation tools.
Eligibility
Basic eligibility.
Prerequisites
Elementary physics and mathematical statistics, basic course or equivalent
Literature
Ljung, L. och Glad T. Modellbygge och simulering, Studentlitteratur, 1991.
Lindskog, Glad; Ljung, “ Modellbygge och simulering övningsbok”, Studentlitteratur, 1997.
Examination
- LAB1 - Laboratory Work, 0.5 credits, grade scale: P, F
- LAB2 - Laboratory Work, 0.5 credits, grade scale: P, F
- LAB3 - Laboratory Work, 0.5 credits, grade scale: P, F
- TEN1 - Examination, 4.5 credits, grade scale: A, B, C, D, E, FX, F
Requirements for final grade
TEN 4.5 hp, LAB1 0.5 hp, LAB2 0.5 hp, LAB3 0.5 hp
Offered by
EES/Automatic Control
Contact
Cristian Rojas (crro@kth.se)
Examiner
Cristian Rojas <crro@kth.se>
Supplementary information
Replaces 2E1282
Version
Course plan valid from:
Autumn 10.
Examination information valid from:
Autumn 07.
