AIS2102 - Dynamical Systems


Examination arrangement

Examination arrangement: Portfolio assessment
Grade: Letter grades

Evaluation Weighting Duration Grade deviation Examination aids
Portfolio assessment 100/100

Course content

The course contains a selection of the following topics, with an emphasis on practical use of digital tools and lab work:

  • Modelling and simulation of dynamical systems in the time domain
  • State space models and state space analysis
  • Conversion between state space and transfer functions
  • Similarity transforms of state space models
  • Controllability and design of control systems with the use of PID, feedforward, and state feedback (pole placement)
  • Integral action and design in state space for error reduction
  • Observability and state estimation
  • Introduction to discrete-time dynamical systems and digital control systems
  • Simulation and visualisation of dynamical systems for analysis, design and verification of control systems
  • Possibly other topics

More details on the curriculum will provided during the start of semester.

The course emphasises use of theory and methods in the time domain. There may be minor overlap with topics in the course AIS2002 Control Systems Engineering but the latter emphasises theory and methods in the frequency (Laplace) domain.

Learning outcome


  • The candidate can explain the use of state space models for modelling, analysis, and control of dynamical systems.
  • The candidate can explain principles and methods for state feedback control.
  • The candidate can explain controllability and observability.
  • The candidate can explain how control systems can be designed using state observers.


  • The candidate can do mathematical modelling of dynamical processes in state space.
  • The candidate can manipulate and analyse state space models.
  • The candidate can design control systems based on state feedback control. and verify the design using simulation.
  • The candidate can design state estimators (observers) for use in control systems and verify the design using simulation.
  • The candidate can mathematically analyse stability of control systems modelled in state space.
  • The candidate can use modern digital tools as an aid for all the above.

General competence

  • The candidate can use digital tools for modelling, analysis, and control of system dynamics.
  • The candidate can reflect on the value of cybernetics in technology.
  • The candidate can present cybernetics problems, solution methods, and results both written and orally to a technical audience.
  • The candidate can evaluate societal and ethical consequences of modern cybernetics.

Learning methods and activities

Learning activities generally include a mix of lectures, tutorials and practical lab/project work. A constructivist approach for learning is endorsed, with focus on problem solving and practical application of theory.

Compulsory assignments

  • Assignments

Further on evaluation

The final grade is based on an overall evaluation of the portfolio. The portfolio consists of work that is carried out, documented and digitally submitted during the term. Both individual and team portfolio submissions may be given. The portfolio submissions are designed to help students achieve specific course learning outcomes, and formative feedback is given during the period of the portfolio. The re-sit exam is an oral exam in August.

In addition to the portfolio submissions, mandatory assignments will be provided and 80 % of these assignments must be approved to qualify for the final exam. Mandatory attendance in the lab is required for having the mandatory assignments approved.

Specific conditions

Admission to a programme of study is required:
Automation and Intelligent Systems - Engineering (BIAIS)

Required previous knowledge

The course has no prerequisites. It is a requirement that students are enrolled in the study programme to which the course belongs.

Course materials

An updated course overview, including curriculum, is presented at the start of the semester and may also include English material.

Credit reductions

Course code Reduction From To
IELEA2301 7.5 AUTUMN 2021
IELET2101 7.5 AUTUMN 2021
More on the course



Version: 1
Credits:  7.5 SP
Study level: Intermediate course, level II


Term no.: 1
Teaching semester:  SPRING 2025

Language of instruction: Norwegian

Location: Ålesund

Subject area(s)
  • Engineering Cybernetics
  • Engineering
Contact information
Course coordinator: Lecturer(s):

Department with academic responsibility
Department of ICT and Natural Sciences


Examination arrangement: Portfolio assessment

Term Status code Evaluation Weighting Examination aids Date Time Examination system Room *
Spring ORD Portfolio assessment 100/100 INSPERA
Room Building Number of candidates

Examination arrangement: Oral exam

Term Status code Evaluation Weighting Examination aids Date Time Examination system Room *
Summer UTS Oral exam 100/100
Room Building Number of candidates
  • * The location (room) for a written examination is published 3 days before examination date. If more than one room is listed, you will find your room at Studentweb.

For more information regarding registration for examination and examination procedures, see "Innsida - Exams"

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