Course detail

Modelling and Simulation

FIT-MSDAcad. year: 2017/2018

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.

Language of instruction

Czech

Mode of study

Not applicable.

Guarantor

doc. Ing. Vladimír Janoušek, Ph.D.

Department

Department of Intelligent Systems (UITS)

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

There are no prerequisites

Co-requisites

Not applicable.

Planned learning activities and teaching methods

Not applicable.

Assesment methods and criteria linked to learning outcomes

Study evaluation is based on marks obtained for specified items. Minimimum number of marks to pass is 50.

Course curriculum

    Syllabus of lectures:
    • 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.

    Syllabus - others, projects and individual work of students:
    • Individual solution of specified simulation problem, or extending of given simulation system to allow the use of new modelling methods.

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

There are no checked study.

Recommended optional programme components

Not applicable.

Prerequisites and corequisites

Not applicable.

Basic literature

Fishwick P.: Simulation Model Design and Execution, PrenticeHall, 1995 Law A., Kelton D.: Simulation Modelling and Analysis, McGraw-Hill, 1991Ross 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

Recommended reading

Rábová Z. a kol: Modelování a simulace, VUT Brno, 2002 Fishwick P.: Simulation Model Design and Execution, PrenticeHall, 1995 Law A., Kelton D.: Simulation Modelling and Analysis, McGraw-Hill, 1991 Didier H. Besset: Object-Oriented Implementation of Numerical Methods: An Introduction with Java & Smalltalk, Morgan Kaufmann, 2000 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

Classification of course in study plans

  • Programme CSE-PHD-4 Doctoral

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

Type of course unit

 

Lecture

39 hod., optionally

Teacher / Lecturer

doc. Ing. Vladimír Janoušek, Ph.D.

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.

Exercise in computer lab

9 hod., optionally

Teacher / Lecturer

doc. Ing. Vladimír Janoušek, Ph.D.