Course detail

Modelling and Simulation

FIT-MSDAcad. year: 2020/2021

Classification of systems and models. Different ways of describing models. Methodology of model construction, special types of models. Principles of implementation of simulation systems. Multiparadigmatic modeling and simulation. Parallel and distributed simulation. Real time simulation, interactive simulation.

The state examination topics:

  1. Theory of modeling and simulation, DEVS and its variants.
  2. Combined systems (continuous simulation and discrete events).
  3. Stochatic Petri nets.
  4. High-level petri nets.
  5. Interpreted Petri nets and control system modeling.
  6. Real-time simulation and interactive simulation.
  7. Anticipatory systems, nested and reflective simulations.
  8. Parallel and distributed simulation.
  9. Multisimulation, cloning of simulations, applications.
  10. Softcomputing and machine learning in systems modeling and simulation.

Learning outcomes of the course unit

The basics of modelling and simulation theory. Understanding the principles of simulation system implementation. Knowledge of advanced simulation techniques.
Ability to create system models and use simulation to solve problems.

Prerequisites

Not applicable.

Co-requisites

Not applicable.

Recommended optional programme components

Not applicable.

Recommended or required reading

Didier H. Besset: Object-Oriented Implementation of Numerical Methods: An Introduction with Java & Smalltalk, Morgan Kaufmann, 2000
Fishwick P.: Simulation Model Design and Execution, PrenticeHall, 1995
Law A., Kelton D.: Simulation Modelling and Analysis, McGraw-Hill, 1991
Janoušek, V.: Simulace a návrh vyvíjejících se systémů. Brno, CZ: Fakulta informačních technologií VUT v Brně, 2009.
Ross S.: Simulation, Academic Press, 2002
Zeigler B., Kim T., Praehofer H.: Theory of Modeling and Simulation. Academic Press Inc.,U.S.; 2nd Edition edition. 2000. ISBN: 0127784551
Sarjoughian H., Cellier F.: Discrete Event Modeling and Simulation Technologies: A Tapestry of Systems and AI-Based Theories and Methodologies. Springer-Verlag New York Inc. 2001. ISBN: 0387950656
David R., Alla H,: Discrete, Continuos and Hybrid Petri Nets, Springer Verlag, 2010

Planned learning activities and teaching methods

Not applicable.

Assesment methods and criteria linked to learning outcomes

Short tests in lectures, state of essay elaboration.

Language of instruction

Czech, English

Work placements

Not applicable.

Aims

Students will be introduced to design and implementation principles of simulation systems. Further, the techniques for modelling and simulation of various types of models will be presented. Special attention is paid to advanced simulation techniques including artificial intelligence.

Specification of controlled education, way of implementation and compensation for absences

Lectures and essay elaboration.

Classification of course in study plans

  • Programme VTI-DR-4 Doctoral

    branch DVI4 , any year of study, winter semester, 0 credits, elective

  • Programme VTI-DR-4 Doctoral

    branch DVI4 , any year of study, winter semester, 0 credits, elective

Type of course unit

 

Lecture

39 hours, optionally

Teacher / Lecturer

Syllabus

  • Classes of problems solvable by simulation methods. Theory of dynamical systems.
  • DEVS formalism and its variants.
  • Architectures of simulation systems, principles of implementation.
  • Examples of paradigm combinations - processes, Petri nets, DEVS and continuous systems.
  • Interpreted Petri nets. Control systems modeling.
  • Systems development based on modeling and simulation, real-time simulation, hardware-in-the-loop, human-in-the-loop, continuity model.
  • Object-oriented and component approaches to modeling and simulation.
  • Parallel and distributed simulation.
  • Anticipatory systems. Nested simulation. Reflective simulation. 
  • Multisimulations, cloning, independent time axes.
  • Optimization, adaptation, learning.
  • Modeling and simulation of intelligent systems. Softcomputing and simulation.
  • Multiagent simulations. Complex systems simulation.

Guided consultation in combined form of studies

26 hours, optionally

Teacher / Lecturer