Course detail
System Simulation
FSI-FSI-KAcad. year: 2010/2011
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.
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Aims
Specification of controlled education, way of implementation and compensation for absences
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Prerequisites and corequisites
Basic literature
Ross S.: Simulation, 3rd edition, Academic Press, 2002
Zeigler B., Praehofer H., Kim T.: Theory of Modelling and Simulation, 2nd edition, Academic Press, 2000
Recommended reading
Šťastný, J.: Simulace systémů. Texty pro cvičení, VUT Brno, 1990
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Syllabus
L2: Fundamentals of the system theory. Classification of models.
L3: Analog simulation methods (ODE).
L4: Analog and discrete simulation methods.
L5: Modeling and simulating complex reactive systems.
L6: Formal systems.
L7: Modeling by means of finite automata.
L8: Modeling by means of cellular automata.
L9: Petri nets.
L10: Fuzzy models.
L11: Random Number Generators. Monte Carlo method.
L12: 3D solid modeling and simulation (Inventor).
L13: HIL simulation, dSpace tools in automotive and aircraft industries.