- model types
- overview of different physical domains (physics, mechanics, electronics)
- model simplification, differential-algebraic equations
- systematic modelling methods
- object-oriented modelling
- disturbances and disturbance models
- parameter estimation and statistical properties
EL2820 Modelling of Dynamical Systems 7.5 credits
The course teaches systematic method for building mathematical models of technical systems from basic physical relations and measured data.
Information per course offering
Information for Autumn 2024 Start 26 Aug 2024 programme students
- Course location
KTH Campus
- Duration
- 26 Aug 2024 - 27 Oct 2024
- Periods
- P1 (7.5 hp)
- Pace of study
50%
- Application code
50531
- Form of study
Normal Daytime
- Language of instruction
English
- Course memo
- Number of places
Places are not limited
- Target group
Open for all programmes as long as it can be included in your programme.
- Planned modular schedule
- [object Object]
- Schedule
- Part of programme
Master's Programme, Aerospace Engineering, åk 2, Optional
Master's Programme, Aerospace Engineering, åk 2, SYS, Optional
Master's Programme, Computer Science, åk 2, CSSC, Recommended
Master's Programme, Electric Power Engineering, åk 1, Conditionally Elective
Master's Programme, ICT Innovation, åk 2, AUSM, Recommended
Master's Programme, ICT Innovation, åk 2, AUSY, Recommended
Master's Programme, Mechatronics, åk 1, Conditionally Elective
Master's Programme, Systems, Control and Robotics, åk 1, Mandatory
Contact
Cristian Rojas (crro@kth.se)
Course syllabus as PDF
Please note: all information from the Course syllabus is available on this page in an accessible format.
Course syllabus EL2820 (Autumn 2022–)Content and learning outcomes
Course contents
Intended learning outcomes
After passing the course, the student should be able to
- formulate basic theory and definitions of important concepts in mathematical modelling of dynamic systems
- retrieve mathematical models for engineering systems based on fundamental physical relations and based on measurement data.
Literature and preparations
Specific prerequisites
Recommended prerequisites
Elementary physics and mathematical statistics, basic course or equivalent. Basic control course, EL1000 or equivalent.
Equipment
Literature
Examination and completion
If the course is discontinued, students may request to be examined during the following two academic years.
Grading scale
Examination
- LAB2 - Lab 2, 0.5 credits, grading scale: P, F
- LAB3 - Lab 3, 2.0 credits, grading scale: P, F
- LABA - Lab 1, 2.0 credits, grading scale: P, F
- TENA - Written exam, 3.0 credits, grading scale: A, B, C, D, E, FX, F
Based on recommendation from KTH’s coordinator for disabilities, the examiner will decide how to adapt an examination for students with documented disability.
The examiner may apply another examination format when re-examining individual students.
Opportunity to complete the requirements via supplementary examination
Opportunity to raise an approved grade via renewed examination
Examiner
Ethical approach
- All members of a group are responsible for the group's work.
- In any assessment, every student shall honestly disclose any help received and sources used.
- In an oral assessment, every student shall be able to present and answer questions about the entire assignment and solution.
Further information
Course room in Canvas
Offered by
Main field of study
Education cycle
Add-on studies
Contact
Transitional regulations
The expired modules LAB1 and TEN1 can be examined until Autumn 24.
Supplementary information
In this course, the EECS code of honor applies, see:
http://www.kth.se/en/eecs/utbildning/hederskodex.