Course details

Intelligent Systems

SIN Acad. year 2026/2027 Winter semester 5 credits

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.

Guarantor

Janoušek Vladimír, doc. Ing., Ph.D. (DITS)

Language of instruction

Czech

Completion

Examination (written)

Time span

  • 26 hrs lectures
  • 26 hrs projects

Assessment points

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

Department

Department of Intelligent Systems (UITS)

Lecturer

Janoušek Vladimír, doc. Ing., Ph.D. (DITS)

Instructor

Janoušek Vladimír, doc. Ing., Ph.D. (DITS)

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.
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.

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. http://www.automatizace.cz/

Study supports

Syllabus of lectures

  1. Introduction – Intelligent and distributed control systems, applications, Industry 4.0.
  2. Basic principles of process control. Hierarchical control, holonic and agent-based systems, cyber-physical systems.
  3. Control system architectures: PLC, DCS, HMI, SCADA.
  4. IoT principles. Edge and cloud computing. MQTT, Node-RED, and Home Assistant.
  5. PLC programming according to IEC 61131-3.
  6. DCS modeling and programming according to IEC 61499.
  7. Methods and tools for model-based system development.
  8. Hierarchical and reconfigurable systems, agent-based control.
  9. Implementation of supervisory and intelligent layers – rule-based systems, neural networks, adaptive and learning systems.
  10. Intelligent buildings, BAS technologies.
  11. Smart cities and intelligent transportation.
  12. Autonomous and robotic 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
  • To pass the exam, at least 30 points is required.

Schedule

DayTypeWeeksRoomStartEndCapacityLect.grpGroupsInfo
Wed lecture 1., 2., 3., 4., 5., 6., 8., 9. of lectures G202 13:0015:5080 1MIT 2MIT NISY xx Janoušek

Course inclusion in study plans

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