Distributed Control Systems | Faculty of Technical Sciences

Subject: Distributed Control Systems (17.AU502)

Native organizations units: Sub-department for Automatic Control and Systems Engineering

Type of studies	Title
Master Academic Studies	Information and Analytics Engineering (Year: 1, Semester: Winter)
Master Academic Studies	Measurement-Information Technologies and Control Engineering (Year: 1, Semester: Winter)
Master Academic Studies	Information Engineering (Year: 1, Semester: Winter)
Master Academic Studies	Software Engineering and Information Technologies (Year: 1, Semester: Winter)
Master Academic Studies	Computing and Control Engineering (Year: 1, Semester: Winter)

General information:

Category	Professional-applicative
Scientific or art field	Automatic Control and System Engineering
ECTS	6

Students get theoretical and practical knowledge about distributed control systems.

Outcomes are the knowledge, skills and abilities necessary for an understanding of the complexity of distributed systems, with emphasis on automatic control systems, real-time systems and critical infrastructural systems. Students will learn the paradigms and principles of such systems and they will be able to solve engineering problems, use existing distributed systems, as well as to participate in the development of new applications for distributed systems.

Introduction to distributed control systems – DCS (definitions, characteristics, real-time operations …). DCS in process automation and industrial plants (examples, DCS implementation, hierarchical levels, data bases, human machine interface, supervisory control and data acquisition systems – SCADA). Hardware architectures (cluster, grid, Cloud, IoT …). Communication subsystem (function, communication networks, protocols …). Software architecture stiles (client-server, distributed objects, event based, pub-sub, web services, types of services …). Principles and paradigms of DCS (synchronization, consistency and data replication, fault tolerance, security …). Open DCS and integrations.

Lectures, computer and laboratory practice, consultations. The theoretical part of the course is examined orally by students` answering problem questions. The oral part is worth 30 points and is based on a set of exam questions. The practical part of the exam is taken in the computer laboratory (colloquium) and through homework assignments. The final grade is formed on the basis of the results of the colloquium and the programming tasks, the quality of the homework and the oral part of the exam.

Authors	Title	Year	Publisher	Language
K. Erciyes	Distributed Real-Time Systems, Theory and Practice	2019	Springer	English
Tanenbaum, A., Van Steen, M.	Distributed systems principles and paradigms	2002	Prentice Hall, New Jersey	English