Syllabus for Modelling of Dynamic Systems

Modellering av dynamiska system


  • 5 credits
  • Course code: 1RT155
  • Education cycle: First cycle
  • Main field(s) of study and in-depth level: Sociotechnical Systems G2F, Technology G2F
  • Grading system: Fail (U), Pass (3), Pass with credit (4), Pass with distinction (5)
  • Established: 2008-03-18
  • Established by:
  • Revised: 2018-08-30
  • Revised by: The Faculty Board of Science and Technology
  • Applies from: week 30, 2019
  • Entry requirements: Single variable calculus, Linear algebra II, Transform methods.
  • Responsible department: Department of Information Technology

Learning outcomes

On completion of the course, the student should be able to:

  • construct mathematical models of systems based upon basic relations
  • apply transform methods in order to describe and analyse linear dynamic systems
  • analyse simple nonlinear systems
  • describe how parametric and nonparametric methods can be used to estimate models


Applications of models in engineering. A survey of models in physics/mechanics/electronics/biology/economy. Model types. Model reduction. Difference and differential equations, transfer functions. The concepts poles, zeros, frequency function, stability and causality. State space models. Introduction to nonlinear systems. Linearisation and stationary solutions. Disturbances and disturbance models. Modelling of dynamic systems using parametric and nonparametric methods.


Lectures, problem solving sessions, laboratory work and assignments.


Written examination (4 credits), assignment (0.5 credits) and laboratory work (0.5 credits). 
If there are special reasons for doing so, an examiner may make an exception from the method of assessment indicated and allow a student to be assessed by another method. An example of special reasons might be a certificate regarding special pedagogical support from the disability coordinator of the university.

Reading list

Reading list

Applies from: week 30, 2019

  • Carlsson, Bengt; Samuelsson, Pär Modellering av dynamiska system

    Institutionen för informationsteknologi, 2013