Control System Synthesis
Syntes av reglersystem

FRT155F, 10 credits

Valid from: Spring 2016
Decided by: Professor Thomas Johansson
Date of establishment: 2016-10-28

General Information

Division: Automatic Control
Course type: Third-cycle course
Teaching language: English

Aim

The aim of the course is to learn basic and advanced methods for control system synthesis. The PhD student should gain hands-on experience of several of the most important control design methods that have been developed within the history of control theory.

Goals

Knowledge and Understanding

For a passing grade the doctoral student must

• know and understand simple and advanced methods for control system synthesis
• know how to define control system requirements
• know the fundamental limitations of what can be achieved by feedback control
• understand how model uncertainty impacts control performance and know suitable control methods for systems with significant uncertainty
• know different architectures and design principles for larger control systems
• know how control systems can learn from measurements and successively improve their performance and adapt to changes

Competences and Skills

For a passing grade the doctoral student must

• be able to analyze, design and implement a control system using suitable methods
• be able to use numerical software (e.g. Matlab) to solve advanced synthesis problems

Course Contents

Control system design - a perspective. Requirements and fundamental limitations. Loopshaping. QFT design. Pole placement. PID design. Bottom-up design. Interaction. LQG design. Robust control, H-infinity synthesis, Glover-McFarlane. Model predictive control. Iterative learning control. Gain scheduling and adaptive control.

Course Literature

Lecture slides and hand-out material.

Instruction Details

Types of instruction: Lectures, exercises, miscellaneous. Some of the lectures consist of short presentations given by the participants.

Examination Details

Examination formats: Written assignments, seminars given by participants, miscellaneous. Individual exercises and handins, some in form of control design challenges.
Grading scale: Failed, pass
Examiner:

Admission Details

Assumed prior knowledge: Knowledge corresponding to a basic course in control theory.

Course Occasion Information

Contact and Other Information

Course coordinators:
Web page: http://www.control.lth.se/Education/DoctorateProgram/control-system-synthesis.html