Course detail
Intelligent Systems
FIT-SINAcad. year: 2020/2021
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.
Guarantor
Department
Learning outcomes of the course unit
Students acquire knowledge of principles, architectures and design of smart systems of various kinds using current technologies.
Prerequisites
Students can use any other special knowledge to implement an individual project.
Co-requisites
Recommended optional programme components
Literature
Zeigler, B.P.: Theory of Modeling and Simulation, Academic Press; 2 edition (March 15, 2000), ISBN 978-0127784557
Cassandras, C. G., Lafortune, S.: Introduction to discrete event systems, Springer, 2008.
David, R., Alla, H.: Petri Nets and Grafcet: Tools for Modelling Discrete Event Systems, Prentice Hall, 1992, ISBN-10: 013327537X, ISBN-13: 978-0133275377
Mehta, B.R., Reddy, Y.J.: Industrial Process Automation Systems: Design and Implementation, Elsevier, 2015, ISBN 978-0-12-800939-0
Valeš, M.: Inteligentní dům. Brno, Vydavatelství ERA, 2006.
Přibyl, P., Svítek, M.: Inteligentní dopravní systémy, Nakladatelství BEN, Praha 2001, ISBN 80-7300-029-6
Automatizace. http://www.automatizace.cz/
Planned learning activities and teaching methods
Assesment methods and criteria linked to learning outcomes
- Individual project
- Project presentation
Language of instruction
Work placements
Aims
The course is suitable for students of all specializations taught at FIT.
Classification of course in study plans
- Programme IT-MGR-2 Master's
branch MBI , any year of study, winter semester, 5 credits, compulsory-optional
branch MPV , any year of study, winter semester, 5 credits, compulsory-optional
branch MGM , any year of study, winter semester, 5 credits, compulsory-optional
branch MIS , any year of study, winter semester, 5 credits, compulsory-optional
branch MBS , any year of study, winter semester, 5 credits, elective
branch MMI , any year of study, winter semester, 5 credits, elective
branch MMM , any year of study, winter semester, 5 credits, elective - Programme MITAI Master's
specialization NADE , any year of study, winter semester, 5 credits, elective
specialization NBIO , any year of study, winter semester, 5 credits, elective
specialization NGRI , any year of study, winter semester, 5 credits, elective
specialization NNET , any year of study, winter semester, 5 credits, elective
specialization NVIZ , any year of study, winter semester, 5 credits, elective
specialization NCPS , any year of study, winter semester, 5 credits, elective
specialization NSEC , any year of study, winter semester, 5 credits, elective
specialization NEMB , any year of study, winter semester, 5 credits, elective
specialization NHPC , any year of study, winter semester, 5 credits, elective
specialization NISD , any year of study, winter semester, 5 credits, elective
specialization NIDE , any year of study, winter semester, 5 credits, elective
specialization NMAL , any year of study, winter semester, 5 credits, elective
specialization NMAT , any year of study, winter semester, 5 credits, elective
specialization NSEN , any year of study, winter semester, 5 credits, elective
specialization NVER , any year of study, winter semester, 5 credits, elective
specialization NSPE , any year of study, winter semester, 5 credits, elective - Programme IT-MGR-2 Master's
branch MSK , 2. year of study, winter semester, 5 credits, compulsory-optional
branch MIN , 2. year of study, winter semester, 5 credits, compulsory - Programme MITAI Master's
specialization NISY , 2. year of study, winter semester, 5 credits, compulsory
Type of course unit
Lecture
Teacher / Lecturer
Syllabus
- Introduction. Intelligent and distributed control systems and applications.
- Systems and models. Hierarchical control, holonic and agent systems.
- Elements and architectures of intelligent and distributed control systems, IoT.
- Communication infrastructure for home automation and industrial automation.
- Communication of subsystems within IIOT.
- PLC and SCADA, Programming PLC.
- Distributed control systems (DCS). Design and programming DCS.
- Application of soft computing in control systems - fuzzy control and reinforcement learning.
- Design of distributed control application, multiagent approach.
- Smart Buildings and Smart Home.
- Smart cities and intelligent transport.
- Case study.
- Summary, conclusion.
Project
Teacher / Lecturer
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.