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
-loopshaping
-h-infinity optimisation
-gain and phase margin optimisation

Demonstrate a good knowledge of classical techniques for performing control system analysis and synthesis:
frequency domain
state-space
operator theoretic
etc.
Furthermore, the student should understand the strengths and weakness of these techniques, and know in what situations they are typically used.

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

understand how to match different theoretical tools to different practical problems
show ability for teamwork and group collaboration

Seminars

Exercises

Self-study literature review

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

PhD student engineering/maths - basic course in automatic control FRTF05

Familiarity with advanced Course in Automatic Control FRTN55

Doyle, F. & Tannenbaum: Feedback Control Theory. Dover Books on Electrical Engineering, 1992. ISBN 9780486318332.

FRT290F

2022-10-28

Maria Sandsten