Course detail
Simulation Modeling
FSI-VMO-KAcad. year: 2013/2014
Course is focused on gaining knowledge and skill in area of simulation modeling of continuous and discrete dynamic systems and relevant areas. Practical examples are technically oriented and also include simulation of non-linear and chaotic systems. At the end of course are presented simulations of intelligent systems which have wide use in area of modeling and optimization. In computer exercises is used environment of Matlab/Simulink (and selected toolboxes) and system Maple.
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Planned learning activities and teaching methods
Assesment methods and criteria linked to learning outcomes
Course curriculum
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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
Kvasnička, V., Pospíchal, J., Tiňo, P: Evolučné algoritmy, STU Bratislava, 2000
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
Kvasnička, V., Pospíchal, J., Tiňo, P: Evolučné algoritmy, STU Bratislava, 2000
Ross S.: Simulation, 3rd edition, Academic Press, 2002
Zeigler B., Praehofer H., Kim T.: Theory of Modelling and Simulation, 2nd edition, Academic Press, 2000
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Guided consultation
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Syllabus
2. Simulation of dynamic systems I. (continuous systems, synchronization of computation)
3. Simulation of dynamic systems II. (continuous and discretized systems)
4. Simulation of dynamic systems III. (ODE solvers and methods of numerical integration)
5. Generators of pseudo random numbers (implementation of generators, tests)
6. Simulation modelling using cellular automata (model of epidemic)
7. Non-linear and chaotic systems I. (deterministic chaos, examples)
8. Non-linear and chaotic systems II. (attractor, Lyapunov stability)
9. Fractals and chaos I. (IFS, generators, fractal dimensions)
10. Fractals and chaos II. (L-systems, models of natural objects)
11. Intelligent systems I. (swarm systems)
12. Intelligent systems II. (evolutionary systems)
13. Intelligent systems III. (cognitive systems)