The purpose of SAU is to promote ITMO University towards one of the leading universities in the field of smart control of cyber-physical systems (Cyber-Physical Systems, CPS) and lay the foundation for training of elite engineers in design and manufacturing of CPS.
International-level tasks
SAU together with its international network partners such as The University of California in Los Angeles (USA), Eindhoven University of Technology (Netherlands), Karlsruhe Institute of Technology (Germany), Aalto University of Technology (Finland), and Luleå University of Technology (Sweden) should create a groundwork for advanced development aimed at overcoming global challenges in CPS design:
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reliable CPS control under computation and communication constraints;
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high-precision navigation software and hardware for CPS;
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software design technologies for CPS;
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self-organization and interoperability in CPS;
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information security in CPS networked control systems.
National-level tasks
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training of elite CPS design and control engineers for Russian industry.
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the development and implementation of competitive technologies for design and control of intelligent robotic cells including computer vision and automated quality-control equipment; extreme-condition navigation systems; high-precision mechatronics and digitally controlled electric drives in cooperation with leading industrial partners (Russian Federal Space Agency, CJSC “Diakont”, Concern “Scientific-Production Association “Aurora”, JSC “United Energy Company”, JSC “Lenenergo”, JSC “Svetlana”, JSC “LOMO”, PJSC “Techpribor”, JSC Concern VKO “Almaz-Antey”, Rocket and Space Corporation “Energia” after S.P. Korolev, Concern “Granit-Electron”)
Structure of School of Computer Technologies and Controls
Research and Education Units
Research Areas of School of Computer Technologies and Controls
By 2018, SAU “School of Computer Technologies and Control” will become the national center of excellence in the field of smart control of cyber-physical systems, aimed at overcoming technological barriers. These barriers include, but not limited to:
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reliability of CPS control under computation and communication constraints
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high-precision navigation software and hardware for CPS;
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efficient software design technologies for CPS;Barriers
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self-organization and interoperability in CPS;
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information security in CPS networked control systems.
We are planning to advance research activity in the following areas within the SAU framework:
Adaptive CPS control under computation and communication constraints |
We expect the following research outcomes: novel adaptive methods for controlling dynamical systems under delays, model uncertainties, incomplete and deficient state measurements, and communication channels limited bandwidth; methods for disturbance rejection; methods for parametric and structural optimization of control system’s hardware including computation, communication and actuation components. |
Intelligent configuration management and data interoperability for CPS |
The plans are: to develop a methodology for context-dependent multilevel configuration and self-configuration of CPS; semantic interoperability of CPS components and communication protocols; and generation of specifications for models and algorithms of low-level control. |
Software design technologies for reliable CPS |
The following results are expected: methods of automated finite-state model generation for CPS control software based on evolutionary algorithms; automation methods for CPS control software verification implemented; software design technology for various hardware and software tools for reliable CPS control systems. A technology that allows a direct transition from specification to executable code for various hardware and software appliances will be developed. |
Navigation hardware and software for the CPS |
It is expected that the project will result in the following outcomes: development of an integrated navigation system, providing a reliable solution for navigation and orientation problems in extreme conditions with limited availability or absence of GNSS data; design of algorithms for integrated processing of measurement information; development of methods for improving noise-immunity of GNSS receivers; design of models and constructions of MEMS inertial sensors for extreme operation conditions. |
Proactive systems for increased safety level of CPS control |
The project will result in methods and algorithms of coordination of models which constitute the description of integrated intellectual decision support systems for proactive management of CPS safety at the level of models and algorithms, software, and information. It will also involve combined methods of operative synthesis of hierarchical network structures of decision support systems for proactive management of CPS safety as part of managing complex organizational and technical objects.
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The work in all of the above-mentioned areas is reflected in the educational process of the SAU.
Top Majors of School of Computer Technologies and Controls
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Computer Science and Computational Technologies
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Information Systems and Technologies
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Software Engineering
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Information Security
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Design and Technology of Electronic Devices
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Power Industry and Electrical Engineering
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Mechatronics and Robotics
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Control of Technical Systems
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Traffic Management and Navigation Systems
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Systems Analysis and Control
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Computers, Complexes, Systems and Networks
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Organization and Technology of Information Security
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Complex Protection of Informatization Objects
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Electric Drive and Automation of Industrial Units and Technological Complexes
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Design and Technology of Electronic Computing Equipment
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Control and Computer Science in Technical Systems
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Automation and Control
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Electrical Engineering, Electromechanical and Electrical Technologies
SAU OF SCHOOL OF COMPUTER TECHNOLOGIES AND CONTROLS INTERNATIONAL MASTER’S DEGREE PROGRAMS