Course detail

Simulation of Dynamic Systems

FSI-FSIAcad. year: 2024/2025

Modeling and Simulation is a discipline for developing a level of understanding of the interaction of the parts of a system, and of the system as a whole. The course is focused to continues, discrete and hybrid simulation. Modeling and Simulating by means of finite automata, cellular automata and Petri nets. Modeling and simulating complex reactive systems. Random Number Generation and Monte Carlo Methods. Design of simulation experiments, HIL simulation, visualization and verification.

Language of instruction

Czech

Number of ECTS credits

Mode of study

Not applicable.

Guarantor

doc. Ing. Zdeněk Hadaš, Ph.D.

Department

Institute of Automation and Computer Science (ÚAI)

Entry knowledge

Fundamentals of mathematics, including differential and integral calculus of functions in one and more variables and solution of system differential equations. Fundamentals of physics, mechanics, electrical engineering and automatic control, knowledge of programming techniques in environment C/C++ and Matlab.

Rules for evaluation and completion of the course

Course-unit credit is conditional on completing of computer projects. Exam has a written and an oral part and tests students’ knowledge of the subject-matter covered in the course.
Attendance at seminars is checked by means of projects.

Aims

The aim of the course is to make students familiar with the methods and selected software supporting the computer simulation.
Students will be able to use software methods and applications for simulation.

Study aids

Not applicable.

Prerequisites and corequisites

Not applicable.

Basic literature

Fishwick P.: Simulation Model Design and Execution, Building Digital Worlds, Prentice-Hall, 1995
Ross S.: Simulation, 3rd edition, Academic Press, 2002
Zeigler B., Praehofer H., Kim T.: Theory of Modelling and Simulation, 2nd edition, Academic Press, 2000

Type of course unit

Lecture

26 hod., optionally

Teacher / Lecturer

Ing. Ondřej Rubeš, Ph.D.
doc. Ing. Zdeněk Hadaš, Ph.D.
Ing. Filip Kšica, Ph.D.

Syllabus

P1: Tools for computer simulation.
P2: Basics of system theory. Classification of models.
P3: Formal systems.
P4: Petri's nets and finite automaton. Modeling of parallel processes.
P5: Cellular automatons and their use for simulation.
P6: Agent based modeling.
P7: Modeling and simulation of continuous systems I (description, types and solution).
P8: Modeling and simulation of continuous systems II (ODE solvers, error and stability).
P9: Modeling and simulation of continuous and discrete systems.
P10: Modeling and simulation of event driven systems.
P11: Modeling and simulation of stochastic systems. Method Monte Carlo.
P12-13: Modern trends in simulation (HIL simulation, dSpace tools for simulations in automobiles and aeronautics).

Computer-assisted exercise

26 hod., compulsory

Teacher / Lecturer

Ing. Ondřej Rubeš, Ph.D.
Ing. Filip Kšica, Ph.D.

Syllabus

Computer labs (exercises) are consistent with the content of lectures. The aim of the labs is to introduce students to practical part of the course above all using Matlab/Simulink system.
The labs are divided into nine parts (modeling and simulation):
a) Mechanical systems
b) Electromechanical systems
c) Logical and electronic systems
d) Fluid systems
e) Stochastic systems (pseudorandom number generators)
f) Cellular automata. Agent based systems.
g) Event driven systems.
h) Petri nets.
i) Fuzzy models.

Elearning

eLearning: currently opened course

VUT

Faculties

University Institutes

Parts

Simulation of Dynamic Systems

Type of course unit