13M051RMR - Robust Multivariable Control

Course specification
Course title Robust Multivariable Control
Acronym 13M051RMR
Study programme Electrical Engineering and Computing
Type of study master academic studies
Lecturer (for classes)
Lecturer/Associate (for practice)
Lecturer/Associate (for OTC)
    ESPB 6.0 Status elective
    Condition Passed exams: Control Systems 1 and Control Systems 2, or equivalent exams (analysis and linear control design)
    The goal Introduce students to mathematical basis of linear multivariable systems' modeling and methods for analysis of closed-loop nominal and robust properties. Make students capable of creating robust models. Introduce students to methods of robust control design.
    The outcome Students are able to: perform adequate analysis of the plant, propose robust model and closed-loop performance specifications, and implement robust control design by using some of the acquired methods. Also, students are able to perform the analysis of achieved properties of the designed control system.
    URL to the subject page
    URL to lectures
    Contents of lectures Representations and basic properties of multivariable linear models. Uncertainties and robust models. Robust stability. Robust performance, Structured singular value. Structures and methods for robust control design.
    Contents of exercises Analysis of multivariable linear models' properties. Making robust models. Robust stability and robust performance analysis. Application of robust control design methods. Design based on closed-loop specifications. Design based on open-loop specifications.
    1. S. Skogestad, I. Postlethwaite: Multivariable feedback control, Wiley, 2010. (Original title)
    2. K. Zhou, J. C. Doyle, K. Glover: Robust and Optimal Control, Prentice-Hall, New Jersey, 1996. (Original title)
    3. J. M. Maciejowski: Multivariable Feedback Design, Addison-Wesley, New York, 1989. (Original title)
    Number of hours per week during the semester/trimester/year
    Lectures Exercises OTC Study and Research Other classes
    3 2
    Methods of teaching Lectures, auditory exercises. Students are obliged to solve and defend individually assigned project, which earns them exam points.
    Knowledge score (maximum points 100)
    Pre obligations Points Final exam Points
    Activites during lectures 0 Test paper 30
    Practical lessons 0 Oral examination 0
    Projects 70
    Colloquia 0
    Seminars 0