Course details

Intelligent Systems

SIN Acad. year 2022/2023 Winter semester 5 credits

Current academic year

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



Examination (written)

Time span

  • 26 hrs lectures
  • 26 hrs projects

Assessment points

  • 70 pts final exam (written part)
  • 30 pts projects




Subject specific learning outcomes and competences

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.

Learning objectives

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.

Why is the course taught

The course combines theoretical knowledge of modelling systems and methods of artificial intelligence with technologies used in the practical implementation of smart systems.

Prerequisite knowledge and skills

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

Study literature

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

Syllabus of lectures

  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.

Syllabus - others, projects and individual work of students

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

Progress assessment

  • Individual project
  • Project presentation

Course inclusion in study plans

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