Applied Optimal Control

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

Lecturers

Prof.
Jadranko Matuško
Assoc. Prof.
Šandor Ileš

Course Description

Optimal control of linear and linear parameter varying systems. Application of convex optimization and linear matrix inequalities in optimal controller synthesis. Application of a reference governor for handling constraints in existing control systems.

Study Programmes

University graduate
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Learning Outcomes

  1. Formulate linear parameter varying model of the system
  2. Apply linear matrix inequalities for optimal controller synthesis
  3. Design a referece governor to handle contstraints on an existing control system

Forms of Teaching

Lectures

Lectures will be given on weekly basis with weekly load of 2 hours

Laboratory

Wirhin the course 4 three-hours laboratory exams will be organized

Week by Week Schedule

  1. Optimal controller design based on integral criteria, Parametric optimization in control systems
  2. Convex optimization in control systems
  3. Linear matrix inequalities - basic definitions and properties
  4. Stability condition and decay ratio maximization
  5. Constraints on control inputs and outputs
  6. Pole placement controller design using LMI
  7. H2/Hinf controller design using LMI
  8. Midterm exam
  9. Linear parameter varying (LPV) systems - basic definitions and properties, Modelling of LPV systems
  10. Common Lyapunov function based control of LPV systems
  11. Parameter varying Laypunog function based control of LPV systems
  12. Reference governor (RG) for linear systems (scalar RG, vector RG)
  13. Reference governor for nonlinear systems (linearization based, Lyapunov function based)
  14. Robust reference governor
  15. Final exam

Literature

(.), Boyd, S., El Ghaoui, L., Feron, E., & Balakrishnan, V. (1994). Linear matrix inequalities in system and control theory (Vol. 15). Siam.,
(.), Scherer, C., & Weiland, S. (2000). Linear matrix inequalities in control. Lecture Notes, Dutch Institute for Systems and Control, Delft, The Netherlands, 3(2).,
(.), Boyd, S., & Vandenberghe, L. (2004). Convex optimization. Cambridge university press.,
(.), Skogestad, S., & Postlethwaite, I. (2007). Multivariable feedback control: analysis and design (Vol. 2, pp. 359-368). New York: Wiley.,

For students

General

ID 222703
  Summer semester
5 ECTS
L1 English Level
L1 e-Learning
30 Lectures
0 Seminar
0 Exercises
12 Laboratory exercises
0 Project laboratory
0 Physical education excercises

Grading System

87.5 Excellent
75 Very Good
62.5 Good
50 Sufficient

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