Course detail

Modelling and Simulation

FIT-MSDAcad. year: 2019/2020

Simulation systems and their classification. Design and implementation of simulation systems. Special types of models. Multimodeling, multisimulation. Parallel and distributed simulation. Knowledge-based simulation, model optimization. Realtime and interactive 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.
Create, verify, and validate simulation models.

Prerequisites

Not applicable.

Co-requisites

Not applicable.

Recommended optional programme components

Not applicable.

Recommended or required reading

Rábová Z. a kol: Modelování a simulace, VUT Brno, 2002
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
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

Planned learning activities and teaching methods

Not applicable.

Assesment methods and criteria linked to learning outcomes

Not applicable.

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.

Classification of course in study plans

  • Programme VTI-DR-4 Doctoral

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

  • Programme VTI-DR-4 Doctoral

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

  • Programme VTI-DR-4 Doctoral

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

  • Programme VTI-DR-4 Doctoral

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

Type of course unit

 

Lecture

39 hours, optionally

Teacher / Lecturer

Syllabus

  • Introduction. Types of problems, which can be solved using simulation methods. Dynamical systems theory.

  • Architectures of simulation systems and their classification. Principles of
    simulation system design and implementation.
  • Modeling and Simulation-Based Development of Systems. Hardware-in-the-loop, Human-in-the-loop, Model continuity.

  • Multimodels, multiparadigm modeling  and simulation, multiresolution modeling and simulation. Architectures of simulators.
  • Examples of multiparadigm modeling: Processes, FSA, Petri nets, DEVS.

  • Object-oriented and component approaches to modeling and simulation.
  • Parallel and distributed simulation.

  • Anticipatory systems. Nested simulation. Reflective simulation.

  • Architectures for multisimulations. Cloning, independent time axes.

  • Optimization, adaptation, learning.
  • Modeling and simulation of intelligent systems. Sftcomputing and simulation.

  • Architectures for multiagent simulations. Compex systems simulation.

  • Visualization. Interactive simulation.

Computer exercise

9 hours, compulsory

Teacher / Lecturer

eLearning