Third-Cycle Courses

Faculty of Engineering | Lund University

Details for Course FRT290F Feedback Control Theory

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  • FRT290F
  • Temporary
Course Name
  • Feedback Control Theory
Course Extent
  • 7.5
Type of Instruction
  • Third-cycle course
Administrative Information
  • 7161 (Automatic Control)
  • 2022-10-28
  • Maria Sandsten

Current Established Course Syllabus

  • English
  • If sufficient demand
  • The goal of the course is to provide good knowledge and practice the ability to use classical as well as modern analysis and design methods for control systems.
  • The course will work through the classical text 'Feedback control theory'
    -performance metrics
    -system representations
    -youla parametrisation
    -fundamental limitations
    -h-infinity optimisation
    -gain and phase margin optimisation
Knowledge and Understanding
  • For a passing grade the doctoral student must
  • Demonstrate a good knowledge of classical techniques for performing control system analysis and synthesis:
    frequency domain
    operator theoretic
    Furthermore, the student should understand the strengths and weakness of these techniques, and know in what situations they are typically used.
Competences and Skills
  • For a passing grade the doctoral student must
  • demonstrate competence in a range proof techniques commonly used in control theory:
    complex analysis approaches, e.g. the argument principle, the maximum modulus theorem, Riemann mapping theorem
    linear algebraic approaches, e.g. Cayley Hamilton, Pick interpolation
    operator theoretic, e.g. Nehari extension
Judgement and Approach
  • For a passing grade the doctoral student must
  • understand how to match different theoretical tools to different practical problems
    show ability for teamwork and group collaboration
Types of Instruction
  • Seminars
  • Exercises
  • Self-study literature review
Examination Formats
  • Written assignments
  • Seminars given by participants
  • Every chapter comes with a set of exercises that must be completed. Further reading topics will also be given, and each student will present a topic from this additional literature in a seminar session
  • Failed, pass
Admission Requirements
  • PhD student engineering/maths - basic course in automatic control FRTF05
Assumed Prior Knowledge
  • Familiarity with advanced Course in Automatic Control FRTN55
Selection Criteria
  • Doyle, F. & Tannenbaum: Feedback Control Theory. Dover Books on Electrical Engineering, 1992. ISBN 9780486318332.
Further Information
Course code
  • FRT290F
Administrative Information
  • 2022-10-28
  • Maria Sandsten

All Established Course Syllabi

1 course syllabus.

Valid from First hand in Second hand in Established
Autumn 2022 2022‑10‑11 14:27:04 2022‑10‑11 15:02:21 2022‑10‑28

Current or Upcoming Published Course Occasion

No matching course occasion was found.

All Published Course Occasions

1 course occasion.

Course syllabus valid from Start Date End Date Published
Autumn 2022 2022‑11‑15 (approximate) 2023‑03‑31

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