Course detail

Intelligent Systems

FIT-SINAcad. year: 2022/2023

Intelligent and distributed control systems, applications. Industry 4.0. Hierarchical management, holonic and agent systems. Cyber-physical systems. Elements and architectures of intelligent and distributed control systems - PLC, SCADA, DCS, IoT. DCS modeling and programming - IEC61499, Node-Red, ROS, PowerDEVS. Soft computing in control systems - fuzzy control, reinforcement learning. Reconfigurable and agent management systems. Smart buildings, Smart cities and smart transport.

Language of instruction

Czech

Number of ECTS credits

5

Mode of study

Not applicable.

Guarantor

doc. Ing. Vladimír Janoušek, Ph.D.

Department

Department of Intelligent Systems (UITS)

Learning outcomes of the course unit

Ability to model and design intelligent (smart) systems and their control using current methods and technologies.
Students acquire knowledge of principles, architectures and design of smart systems of various kinds using current technologies.

Prerequisites

Basics of systems theory, simulation.
Students can use any other special knowledge to implement an individual project.

Co-requisites

Not applicable.

Planned learning activities and teaching methods

Not applicable.

Assesment methods and criteria linked to learning outcomes

  • Individual project
  • Project presentation

Course curriculum

Not applicable.

Work placements

Not applicable.

Aims

To acquaint students with principles, architectures, and methods of design of intelligent control systems.
The course is suitable for students of all specializations taught at FIT.

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

Not applicable.

Recommended optional programme components

Not applicable.

Prerequisites and corequisites

Not applicable.

Basic literature

Not applicable.

Recommended reading

Zeigler, B.P.: Theory of Modeling and Simulation, Academic Press; 2 edition (March 15, 2000), ISBN 978-0127784557
Automatizace. http://www.automatizace.cz/

David, R., Alla, H.: Petri Nets and Grafcet: Tools for Modelling Discrete Event Systems, Prentice Hall, 1992, ISBN-10: 013327537X, ISBN-13: 978-0133275377,
Přibyl, P., Svítek, M.: Inteligentní dopravní systémy, Nakladatelství BEN, Praha 2001, ISBN 80-7300-029-6

Elearning

eLearning: currently opened course

Classification of course in study plans

  • Programme IT-MSC-2 Master's

    branch MBS , 0 year of study, winter semester, elective
    branch MIN , 2 year of study, winter semester, compulsory
    branch MMM , 0 year of study, winter semester, elective

  • Programme MITAI Master's

    specialization NADE , 0 year of study, winter semester, elective
    specialization NBIO , 0 year of study, winter semester, elective
    specialization NCPS , 0 year of study, winter semester, elective
    specialization NEMB , 0 year of study, winter semester, elective
    specialization NGRI , 0 year of study, winter semester, elective
    specialization NHPC , 0 year of study, winter semester, elective
    specialization NIDE , 0 year of study, winter semester, elective
    specialization NISD , 0 year of study, winter semester, elective
    specialization NISY up to 2020/21 , 2 year of study, winter semester, compulsory
    specialization NMAL , 0 year of study, winter semester, elective
    specialization NMAT , 0 year of study, winter semester, elective
    specialization NNET , 0 year of study, winter semester, elective
    specialization NSEC , 0 year of study, winter semester, elective
    specialization NSEN , 0 year of study, winter semester, elective
    specialization NSPE , 0 year of study, winter semester, elective
    specialization NVER , 0 year of study, winter semester, elective
    specialization NVIZ , 0 year of study, winter semester, elective
    specialization NISY , 2 year of study, winter semester, compulsory

  • Programme IT-MSC-2 Master's

    branch MBI , 0 year of study, winter semester, compulsory-optional
    branch MGM , 0 year of study, winter semester, compulsory-optional
    branch MIS , 0 year of study, winter semester, compulsory-optional
    branch MPV , 0 year of study, winter semester, compulsory-optional
    branch MSK , 2 year of study, winter semester, compulsory-optional

  • Programme MITAI Master's

    specialization NEMB up to 2021/22 , 0 year of study, winter semester, elective

Type of course unit

 

Lecture

26 hod., optionally

Teacher / Lecturer

doc. Ing. Vladimír Janoušek, Ph.D.

Syllabus

  1. Intelligent and distributed control systems, applications.
  2. Basic principles of process control.
  3. Hierarchical control, holonic and agent systems, Cyber-physical systems (CPS).
  4. Control systems architectures,  SCADA.
  5. IoT principles and MQTT protocol.
  6. DCS modeling and programming according to IEC 61499.
  7. PLC programming according to IEC 61131-3. Standard function blocks.
  8. Model driven development of CPS, hierarchical modeling in PowerDEVS, Node-RED and 4diac.
  9. Hierarchical and reconfigurable systems, agent-based control systems.
  10. Expert control systems. Basic principles of fuzzy control.
  11. Learning agent and reinforcement learning.
  12. Intelligent buildings, KNX and other technologies for BAS.
  13. Intelligent transportation systems.

Project

26 hod., compulsory

Teacher / Lecturer

doc. Ing. Vladimír Janoušek, Ph.D.

Syllabus

  • Individual project - implementation of distributed intelligent control in a simulated environment. The application area can be Smart Home, Transportation Systems Telematics, Smart Manufacturing, etc.

Elearning

eLearning: currently opened course