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Blekinge Institute of Technology
Department of Mathematics and Natural Science

Revision: 2
Reg.no: BTH-4.1.14-0525-2025


Course syllabus

Automatic Control, advanced course

Automatic Control, advanced course

6 credits (6 högskolepoäng)

Course code: ET2630
Main field of study: Electrical Engineering
Disciplinary domain: Technology
Education level: Second-cycle
Specialization: A1F - Second cycle, has second-cycle course/s as entry requirements

Language of instruction: English
Applies from: 2025-06-27
Approved: 2025-06-27

1. Descision

This course is established by Dean 2023-05-15. The course syllabus is approved by Head of Department of Mathematics and Natural Science 2025-06-27 and applies from 2025-06-27.

2. Entry requirements

Admission to the course requires a completed course in Automatic control and one completed course in probability theory/mathematical statistics, as well as a taken course in signals and systems, continuation course or equivalent. English 6.

3. Objective and content

3.1 Objective

The aim of the course is for the student to acquire in-depth knowledge and skills in automatic control. Such knowledge is necessary to be able to work professionally with control engineering design tasks related to the fields of mechanical engineering, electrical engineering and computer engineering.

3.2 Content

  • Modelling of mechanical systems
  • Multivariable systems
  • Sampled systems
  • Controllability, observability, robustness and stability
  • Limitations: sensitivity, complementary sensitivity, signal limitations
  • Disturbance models and the Kalman filter
  • Linear Quadratic Control (LQG)
  • Nonlinear systems: Lyapunov functions, the circle criterion
  • Model predictive control

4. Learning outcomes

The following learning outcomes are examined in the course:

4.1. Knowledge and understanding

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

  • demonstrate an understanding of modelling of mechanical systems.
  • demonstrate an understanding of controllability, observability, robustness and stability in multivariable systems.
  • demonstrate an understanding of LQ-based control, Kalman filtering as well as LQG.
  • demonstrate an understanding of limitations and of nonlinear systems.

4.2. Competence and skills

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

  • model mechanical systems.
  • analyze the properties of multivariable systems.
  • design controllers for simple multivariable systems.
  • analyze systems regarding controllability, observability, robustness and stability.
  • construct controllers based on LQ theory and Kalman filtering.
  • analyze properties of simple nonlinear systems.
  • design controllers for simple nonlinear systems.

4.3. Judgement and approach

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

  • demonstrate the ability to evaluate different controller designs against given requirements and performance.

5. Learning activities

The course is given in the form of lectures, exercises and projects.

6. Assessment and grading

Modes of examinations of the course

Code Module Credit Grade
2605 On-Campus Examination[1] 3 credits AF
2615 Laboratory Session 1.5 credits GU
2625 Project Assignment 1.5 credits GU

[1] Determines the final grade for the course, which will only be issued when all components have been approved.

The course will be graded A Excellent, B Very good, C Good, D Satisfactory, E Sufficient, FX Failed result, a little more work required, F Fail.

The examiner may carry out oral follow-up of written examinations.

The information before the start of the course states the assessment criteria and make explicit in which modes of examination that the learning outcomes are assessed.

An examiner can, after consulting the Disability Advisor at BTH, decide on a customized examination form for a student with a long-term disability to be provided with an examination equivalent to one given to a student who is not disabled.

7. Course evaluation

The course evaluation should be carried out in line with BTH:s course evaluation template and process.

8. Restrictions regarding degree

The course can form part of a degree but not together with another course the content of which completely or partly corresponds with the contents of this course.

9. Course literature and other materials of instruction

Glad Ljung, Reglerteori, andra upplagan, Studentlitteratur 2003, ISBN 978-91-44-03003-6 Glad Ljung, Control theory, Taylor & Francis Ltd, ISBN 978-07-48-40878-8

Material från institutionen som Prediktionsreglering, MPC

Referenslitteratur:
Ljung Glad, Modeling and Identification of Dynamic Systems, Studentlitteratur, 2016, ISBN 978-91-44-11688-4