Nonlinear Control Systems

Data is displayed for academic year: 2023./2024.

Lecturers

Prof.
Mato Baotić
Prof.
Nikola Mišković

Associate Lecturers

Asst. Prof.
Đula Nađ

Course Description

Dynamic effects due to nonlinearities in systems. Common nonlinear elements in control systems. Phase-plane analysis. Linearization of nonlinear systems. Harmonic linearization. Describing function. Self-oscillations (limit-cycles). Forced oscillations. Stability of nonlinear systems. Feedback linearization. Sliding mode control.

Study Programmes

University graduate
[FER3-HR] Audio Technologies and Electroacoustics - profile
Elective Courses (1. semester) (3. semester)
[FER3-HR] Communication and Space Technologies - profile
Elective Courses (3. semester)
[FER3-HR] Computational Modelling in Engineering - profile
Elective Courses (3. semester)
[FER3-HR] Computer Engineering - profile
Elective Courses (3. semester)
[FER3-HR] Computer Science - profile
Elective Courses (3. semester)
[FER3-HR] Control Systems and Robotics - profile
Core-elective courses 2 (3. semester)
[FER3-HR] Data Science - profile
Elective Courses (3. semester)
[FER3-HR] Electrical Power Engineering - profile
Elective Courses (3. semester)
[FER3-HR] Electric Machines, Drives and Automation - profile
Elective Courses (3. semester)
[FER3-HR] Electronic and Computer Engineering - profile
Elective Courses (3. semester)
[FER3-HR] Electronics - profile
Elective Courses (3. semester)
[FER3-HR] Information and Communication Engineering - profile
Elective Courses (3. semester)
[FER3-HR] Network Science - profile
Elective Courses (3. semester)
[FER3-HR] Software Engineering and Information Systems - profile
Elective Courses (3. semester)

Learning Outcomes

  1. recognize common nonlinear control problems
  2. apply some powerfull analysis methods
  3. apply some practical design methods
  4. discover how nonlinearities can improve system dynamics
  5. apply stability analysis methods to real systems
  6. identify and remove negative effects that appear in nonlinear control systems

Forms of Teaching

Lectures

Three hours of lectures per week.

Laboratory

Four laboratory exercises.

Grading Method

Continuous Assessment Exam
Type Threshold Percent of Grade Threshold Percent of Grade
Laboratory Exercises 0 % 20 % 0 % 20 %
Mid Term Exam: Written 0 % 20 % 0 %
Final Exam: Written 0 % 20 %
Final Exam: Oral 40 %
Exam: Written 0 % 40 %
Exam: Oral 40 %
Comment:

The condition for taking the oral exam is that all laboratory exercises have been completed and that 50% of the maximum sum of points from laboratory exercises, midterm exam and final exam has been achieved.

Week by Week Schedule

  1. Introduction. Examples of nonlinear control systems. Characteristic nonlinear behaviours.
  2. Dynamic analysis of nonlinear systems. Typical nonlinear elements.
  3. Phase portrait of nonlinear systems.
  4. Tangent method of linearization. Secant method of linearization. Harmonic linearization.
  5. Describing function
  6. Self-oscillations
  7. Self-oscillations - examples.
  8. Midterm exam
  9. Stability of self-oscillations
  10. Forced oscillations
  11. Feedback linearization. Controllability of nonlinear systems.
  12. Lyapunov stability in nonlinear control systems (algebraic criteria)
  13. Lyapunov stability for nonlinear time-varying systems. Sliding mode control
  14. Popov stability (graphical criteria)
  15. Final exam

Literature

Z. Vukić, Lj. Kuljača, D. Đongalić, S. Tešnjak (2003.), Nonlinear Control Systems, CRC Press
Jean-Jacques E. Slotine, Weiping Li (1991.), Applied Nonlinear Control,
M. Vidyasagar (2002.), Nonlinear Systems Analysis, SIAM
Hassan K. Khalil (2014.), Nonlinear Control,

For students

General

ID 222513
  Winter semester
5 ECTS
L1 English Level
L1 e-Learning
45 Lectures
0 Seminar
0 Exercises
8 Laboratory exercises
0 Project laboratory

Grading System

87,5 Excellent
75 Very Good
62,5 Good
50 Sufficient

Similar Courses