Course detail

Intelligent Systems

FIT-SINAcad. year: 2024/2025

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

Mode of study

Not applicable.

Guarantor

doc. Ing. Vladimír Janoušek, Ph.D.

Department

Department of Intelligent Systems (UITS)

Entry knowledge

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

Rules for evaluation and completion of the course

  • Individual project
  • Project presentation

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.
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.

Study aids

Prerequisites and corequisites

Not applicable.

Basic literature

Not applicable.

Recommended reading

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

Classification of course in study plans

  • Programme MITAI Master's

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