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Third-Cycle Courses

Faculty of Engineering | Lund University

Details for the Course Syllabus for Course FRT235F valid from Spring 2021

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General
Aim
  • Teach theory and methodology for adaptive control
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.
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.
Types of Instruction
  • Lectures
  • Exercises
Examination Formats
  • Written exam
  • Miscellaneous
  • oral presentations of exercises
  • Failed, pass
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
Selection Criteria
Literature
  • Wittenmark, Å.: Adaptive Control. Dover Publ., 2008. ISBN 9780486462783.
Further Information
Course code
  • FRT235F
Administrative Information
  • 2021-02-02
  • Professor Thomas Johansson

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