Elements of Iterative Learning and Adaptive Control, 7.5 Credits
About the course
The course suggests an introduction to a family of design methods and algorithms that implement an on-line adaptation of controller parameters of feedback systems to uncertainties (changes) in systems' models so that the feedback controller becomes re-designed simultaneously with operating the process. The course includes the discussion of the classical MIT-rule as well as modern approaches (model reference adaptive control), their limitations and ways for numerical implementations.
Level of Education: Advanced
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Contact Information
Department of Applied Physics and Electronics
