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MS1MER - Nonlinear Control Methods

Course specification
Course title Nonlinear Control Methods
Acronym MS1MER
Study programme Electrical Engineering and Computing
Module Signals and Systems
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 advanced concepts of nonlinear control. Acquiring mathematical apparatus and adequate exact methods of nonlinear control analysis and synthesis. Provide the students with the ability to evaluate nonlinear phenomena in systems and use of provided knowledge in exact modeling and high performance conventional nonlinear control and fuzzy control and fuzzy control.
    The outcome Students are able to: create nonlinear models for plants, implement nonliear control design by using some of acquired advanced methods, analyze achieved closed-loop properties.
    Contents
    Contents of lectures Review of nonlinear analysis methods. Jacobian linearization and linear control design. Methods of exact input-output linearization and input-to-state linearization. Sliding-mode control. Introduction to fuzzy logic. Fuzzy-Knowledge Based Control (FKBC): structures and design parameters. Intuitive approach to FKBC design. Fuzzification of conventional control. PID-like FKBC.
    Contents of exercises Computer aided analysis and nonliear control design. Analysis of designed closed-loop systems by computer simulation.
    Literature
    1. T.B. Petrović, A.Ž. Rakić: Nonlinear Dynamic Systems (in preparation).
    2. H.K. Khalil: Nonlinear Systems (3rd ed.), Prentice-Hall, New Jersey, 2002. (Original title)
    3. J. J. E. Slotine, W. Li: Applied Nonlinear Control, Prentice-Hall, New Jersey, 1991. (Original title)
    4. M. Vidyasagar: Nonlinear Systems Analysis, Prentice-Hall, New Jersey, 1993. (Original title)
    5. K. M. Passino, S. Yurkovich: Fuzzy Control, Addison-Wesley, New York, 1998. (Original title)
    Number of hours per week during the semester/trimester/year
    Lectures Exercises OTC Study and Research Other classes
    3 1
    Methods of teaching Lectures, auditory excercises. During the course, students solve and defend projects assignments, which earn them exam points.
    Knowledge score (maximum points 100)
    Pre obligations Points Final exam Points
    Activites during lectures 50 Test paper 50
    Practical lessons 0 Oral examination 0
    Projects 0
    Colloquia 0
    Seminars 0