Digital Control Systems

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

Associate Lecturers

Laboratory exercises

Course Description

Classification and structures of digital management systems. Mathematical modeling of digital control systems, aliasing, z-transformation. Discretization procedures and representations of digital control systems. Selection of sampling time and stability analysis procedure. Introduction to the synthesis of digital control systems. Synthesis of digital PID controller. Synthesis of the digital controller in the frequency domain and using analytical procedures. Realization and implementation aspects of digital controllers.

Study Programmes

University undergraduate
Elective Courses (6. semester)
Elective Courses (6. semester)
[FER2-HR] Control Engineering and Automation - module
(6. semester)
University graduate
[FER3-HR] Audio Technologies and Electroacoustics - profile
Elective Courses (2. semester)
[FER3-HR] Communication and Space Technologies - profile
Elective Courses (2. semester)
[FER3-HR] Computational Modelling in Engineering - profile
Elective Courses (2. semester)
[FER3-HR] Computer Engineering - profile
Elective Courses (2. semester)
[FER3-HR] Computer Science - profile
Elective Courses (2. semester)
[FER3-HR] Control Systems and Robotics - profile
Elective Courses (2. semester)
Elective Courses of the Profile (2. semester)
[FER3-HR] Data Science - profile
Elective Courses (2. semester)
[FER3-HR] Electrical Power Engineering - profile
Elective Courses (2. semester)
[FER3-HR] Electric Machines, Drives and Automation - profile
Elective Courses (2. semester)
[FER3-HR] Electronic and Computer Engineering - profile
Elective Courses (2. semester)
[FER3-HR] Electronics - profile
Elective Courses (2. semester)
[FER3-HR] Information and Communication Engineering - profile
Elective Courses (2. semester)
[FER3-HR] Network Science - profile
Elective Courses (2. semester)
[FER3-HR] Software Engineering and Information Systems - profile
Elective Courses (2. semester)

Learning Outcomes

  1. Apply discretization approches of continuous dynamic systems.
  2. Analyze discrete systems dynamic behaviors.
  3. Design of digital controllers.
  4. Assess stabilty of digital control systems.

Forms of Teaching


Four hours of lectures per week (2 x 2 hours)


8 hours of auditory exercises (4 hours in each cycle)

Independent assignments

Five homeworks.


Šest (6) laboratory exercises.

Grading Method

Continuous Assessment Exam
Type Threshold Percent of Grade Threshold Percent of Grade
Laboratory Exercises 8 % 20 % 8 % 20 %
Mid Term Exam: Written 10 % 30 % 0 %
Final Exam: Written 10 % 30 %
Final Exam: Oral 20 %
Exam: Written 30 % 60 %
Exam: Oral 20 %

Week by Week Schedule

  1. Classification of digital control systems, Structure of digital control systems
  2. Modeling of digital control system elements, Sampling, Antialiasing
  3. Z-transform, ZOH transformation
  4. Linking the continuous and discrete pole planes, Modeling digital control system elements
  5. Discretization methods of continuous systems
  6. Difference equations, Transfer function of discrete control systems, Block diagrams of discrete control systems
  7. Time responses of discrete control systems, Methods for determining the sampling frequency
  8. Midterm exam
  9. Stability of digital control systems, Algebraic stability criteria (Jury and Routh-Hurwitz)
  10. Synthesis of digital control systems, digital PID controller
  11. Digital controllers synthesis in the frequency domain
  12. Analytical procedures for the synthesis of digital control systems
  13. Realization of the digital control systems
  14. Implementation aspects of digital control systems
  15. Final exam


Gene F. Franklin, J. David Powell, Michael L. Workman (1997.), Digital Control of Dynamic Systems - Third Edition, Prentice Hall
Karl J. Astrom, Bjorn Wittenmark (1996.), Computer-Controlled Systems, Theory and Design, Prentice Hall

For students


ID 229634
  Summer semester
L1 English Level
L1 e-Learning
60 Lectures
0 Seminar
8 Exercises
12 Laboratory exercises
0 Project laboratory

Grading System

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