Adaptive Control

Education facts

Code: 5EL246

This course addresses design methods and algorithms for implementation of adaptive controllers for systems that can be modeled by ordinary differential equations, or systems of differential equations, where parameters are unknown. The course also covers recursive-least-squares algorithms, the MIT rule, Lyapunov-function-based adaptation and model reference adaptive control (MRAC). Numerical implementations are studied in detail. The course is divided into two parts: 1. Theory, 4.5 ECTS. Mathematical methods for on-line parameter identification for the design of adaptive controllers, and adaptive control systems are analyzed, studied and discussed. 2. Laboratory and Project, 3.0 ECTS. Practical skills in Matlab/Simulink programming of adaptive controllers obtained through exercises and guided programming tasks. The ability to design, implement, simulate, document, and present adaptive controller is examined through a small project. Project results are presented orally and in writing. The report should be written according to the IMRAD structure and documented MATLAB scripts are submitted as separate files.

Entry requirements

For admission at least two years full-time university studies are required, including 30 ECTS in Mathematics containing Linear Algebra, Differential Equations as well as Calculus, 7.5 ECTS in Mathematical Statistics, 15 ECTS at advanced level in Electronics including Linear Control Systems, 7.5 ECTS, and 7.5 ECTS in Programming, or equivalent. Proficiency in English equivalent to the level required for basic eligibility for higher studies.  Where the language of instruction is Swedish, applicants must prove proficiency in Swedish to the level required for basic eligibility for higher studies.

Education offerings

Each offering has its own dates and conditions. Closed offerings are retained as history and do not mean that a new application is open.

• Adaptive Control

  Umeå University

  Umeå

  Start date: 25 March 2027

  End date: 6 June 2027

  Pace of study: 50 %