Course Syllabus for

Adaptive Control
Adaptiv reglering

FRT235F, 7.5 credits

Valid from: Spring 2021
Decided by: Professor Thomas Johansson
Date of establishment: 2021-02-02

General Information

Division: Automatic Control
Course type: Third-cycle course
Teaching language: English


Teach theory and methodology for adaptive control


Knowledge and Understanding

For a passing grade the doctoral student must Demonstrate enough knowledge to implement algorithms. Demonstrate understanding of proofs of central results.

Competences and Skills

For a passing grade the doctoral student must Be able to apply main results to simple practical applications. Be able to create simple implementations for simulation of adaptive control systems.

Judgement and Approach

For a passing grade the doctoral student must Show ability to judge when adaptive control is a feasible and realistic approach, in comparison to robust control or gain scheduling.

Course Contents

Background in robust control and gain scheduling. Theory for minimax adaptive control, model reference adaptive control, real time parameter estimation and self tuning regulators.

Course Literature

Wittenmark, Å.: Adaptive Control. Dover Publ., 2008. ISBN 9780486462783.

Instruction Details

Types of instruction: Lectures, exercises

Examination Details

Examination formats: Written exam, miscellaneous. oral presentations of exercises
Grading scale: Failed, pass

Admission Details

Admission requirements: The target group is PhD students in Automatic Control, but senior master students would be welcome.
Assumed prior knowledge: equivalent to first year PhD students in Automatic Control

Course Occasion Information

Contact and Other Information

Course coordinators:
Web page:

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