Simulation Tools and Techniques

Guarantor

Češka Milan, prof. RNDr., CSc.

Language of instruction

Czech

Completion

Credit+Examination

Time span

Department

Department of Intelligent Systems (UITS)

Study literature

Rábová, Z. a kol.: Modelování a simulace, VUT Brno, 1992, ISBN 80-214-0480-9
Cellier, F., Kofman, E.: Continuous System Simulation, Springer, 2006, ISBN: 978-0-387-26102-7
Fishwick, P.: Simulation Model Design and Execution, Prentice Hall, 1995, ISBN 0-13-098609-7
Soubor materiálů dostupný na WWW stránce předmětu.

Fundamental literature

Fishwick, P.: Simulation Model Design and Execution, Prentice Hall, 1995, ISBN 0-13-098609-7
Law, A., Kelton, D.: Simulation Modelling and Analysis, McGraw-Hill, 2000, ISBN 0-07-100803-9
Zeigler, B., Praehofer, H., Kim, T.: Theory of Modelling and Simulation, second edition, Academic Press, 2000, ISBN 0-12-778455-1
Ross, S.: Simulation, Academic Press, 2002, ISBN 0-12-598053-1
Cellier, F., Kofman, E.: Continuous System Simulation, Springer, 2006, ISBN: 978-0-387-26102-7
Fujimoto, R.: Parallel and Distribution Simulation Systems, John Wiley & Sons, 1999, ISBN:0471183830
Chopard, B.: Cellular Automata Modelling od Physical Systems, Cambridge University Press, 1998, ISBN:0-521-67345-3

Syllabus of lectures

Introduction. Theory of modelling and simulation, DEVS formalism.
DEVS simulator.
Simulation systems: classification, principles of design and implementation. Simulation control algorithms. Parallel and distributed simulation.
Continuous simulation: numerical methods, stiff systems, algebraic loops. Dymola simulation system, Modelica language.
Discrete simulation: implementation of events and processes. Queueing systems.
Combined simulation: state events.
Modelling of systems described by partial differential equations. Basics of sensitivity analysis.
Digital systems simulation models and tools.
Cellular automata.
Models of uncertainty, using fuzzy logic in simulation.
Multimodels. Model optimization methods. Qualitative simulation.
Simulation experiment control, simulation results analysis. Introduction to model validation and verification. Visualization methods. User interfaces of simulation systems. Simulation and virtual reality.
Simulation system implementation case study. Examples of simulation models.

Course inclusion in study plans