Course detail
Modeling and Simulation I
FSI-RDO Acad. year: 2025/2026 Winter semester
Supervisor
Learning outcomes of the course unit
Prerequisites
Planned learning activities and teaching methods
Assesment methods and criteria linked to learning outcomes
The assessment of the course is based on a standard 0-100 point scale. The following conditions must be fulfilled in order to receive credit:
- Obtain at least 20 points out of 40 possible points in the practice test.
- Obtain at least 20 points from the laboratory assignment.
The exam is graded with a maximum of 60 points.
Participation in the exercises is compulsory. Attendance and learning are checked on the basis of the assessment criteria set for the exercises.
Language of instruction
Czech
Aims
Students will learn about modelling dynamic systems (mechanical, electromechanical and controlled) on a computer. During the course they will acquire knowledge and skills in the following areas:
- Linear dynamical systems and their analysis
- Modeling in MATLAB/Simulink environment
- Modeling of controlled systems
- Hands-on experience in controlling a real system using an I/O card from MATLAB/Simulink
This course combines theoretical knowledge with practical use in engineering applications.
Specification of controlled education, way of implementation and compensation for absences
The study programmes with the given course
Programme B-MET-P: Mechatronics, Bachelor's
branch ---: no specialisation, 6 credits, compulsory
Type of course unit
Lecture
26 hours, optionally
Syllabus
- Introduction
- Numerical methods of integration
- Linear dynamic system of 1st and 2nd order
- Solution of ODE in MATLAB
- Simulink I.
- Simulink II.
- SimScape
- StateFlow
- RT systems, HW, SW
- Friction modelling
- Introduction to parameter estimation
- Fractals and other beautiful discrete systems
Laboratory exercise
13 hours, compulsory
Syllabus
7.-12. Experimental work – control of real system from PC
13. Presentation of semestral project, assignment.
Computer-assisted exercise
13 hours, compulsory
Syllabus
- Introduction
- Numerical methods of integration
- Linear dynamic system of 1st and 2nd order
- Solution of ODE in MATLAB
- Simulink I.
- Simulink II.
- SimScape
- StateFlow
- RT systems, HW, SW
- Friction modelling
- Introduction to parameter estimation
- Fractals and other beautiful discrete systems