Course details

Intelligent Systems

SIN Acad. year 2021/2022 Winter semester 5 credits

Current academic year

Intelligent control systems. Hierarchical control, holonic and agent systems. Communication infrastructure for home automation and industrial automation. PLC, application of soft computing. Communication of subsystems within IoT. SCADA. Distributed control systems. Smart Buildings and Smart Home. Smart Cities and intelligent transport.


Course coordinator

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

  • Russel, S., Norvig, P.: Artificial Intelligence, a Modern Approach, Pearson Education Inc., 2003, ISBN 0-13-080302-2
  • Zeigler, B.P.: Theory of Modeling and Simulation, Academic Press; 2 edition (March 15, 2000), ISBN 978-0127784557
  • Valeš, M.: Inteligentní dům. Brno, Vydavatelství ERA, 2006.
  • Cassandras, C. G.,  Lafortune, S.: Introduction to discrete event systems, Springer, 2008.
  • Přibyl, P., Svítek, M.: Inteligentní dopravní systémy, Nakladatelství BEN, Praha 2001, ISBN 80-7300-029-6
  • David, R., Alla, H.: Petri Nets and Grafcet: Tools for Modelling Discrete Event Systems, Prentice Hall, 1992, ISBN-10: 013327537X, ISBN-13: 978-0133275377,
  • Automatizace.
  • Mehta, B.R., Reddy, Y.J.: Industrial Process Automation Systems: Design and Implementation, Elsevier, 2015, ISBN 978-0-12-800939-0

Syllabus of lectures

  1. Introduction. Intelligent and distributed control systems and applications.
  2. Systems and models. Hierarchical control, holonic and agent systems, CPS.
  3. Elements and architectures of intelligent and distributed control systems, PLC, SCADA, DCS, IoT.
  4. Communication infrastructure for home automation and industrial automation.
  5. Communication of subsystems within IIOT, MQTT.
  6. Distributed control systems (DCS). Modeling and programming DCS, IEC61499.
  7. Programming DCS, Distributed Node-Red, ROS.
  8. Application of soft computing in control systems - fuzzy control and reinforcement learning. 
  9. Reconfigurable and agent-based control systems.
  10. Smart Buildings and Smart Home.
  11. Smart cities and intelligent transport.
  12. Case study.
  13. Summary, conclusion.

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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