Department of Control and Intelligent Technologies (СIT) is a department with a rich history and one of the first departments in Russia that trains specialists in the field of control in technical systems. It was founded in 1935.The initial name of the department was a Department of Telemechanics and Automation, later its names were changed: Department of Automation and Telemechanics (until 1969), Department of Automation  (1969-1994), Department of Control and Informatics (1994-2019), Department of  Control and Intelligent  Technologies (from 2019 to the present). Over the years, from the Department there were emerged the Department  of Computer Technology and the Department  of  Systems Engineering, which currently are  the Department of Computing Technologies and the Department of Computing Machines, Systems and Networks.​

Summary

The department trains spec​​ialists of a broad profile in the field of development and operation of automatic control systems and industrial automation, systems for intelligent data processing and decision support, as well as information and analytical systems.

The advantage of the Department is a profound training in general engineering disciplines, as well as the focus of graduates on solving problems using modern management methods, data analysis, programming environments and artificial intelligence technologies. This advantage is achieved due to the fundamental theoretical knowledge in combination with the modern intelligent  technologies.

Our students actively participate in the research work of the department, make presentations at scientific conferences. For the best students there is an opportunity to practice abroad (Germany, Austria, Croatia).

Research areas

  • development of mathematical models of complex systems and algorithms for their control;
  • development of mathematical methods and automation tools for research and design of dynamic systems and processes
  • intellectual information technologies;
  • development of real-time information technologies based on artificial neural networks and principles of self-organization;
  • development of information and information-analytical systems for automation of control processes in complex organizational and technical systems;
  • research and development of decision support methods based on cognitive technologies and data mining;
  • development of methods for analysis and synthesis of dynamic systems based on fuzzy logic;
  • methods for identification of dynamic control systems;
  • microprocessor and neural network tools of control and automation systems;
  • development of models of control systems for robotic manipulators;
  • design of pneumatic and hydraulic control circuits.

Scientific research is carried out within the scientific groups and laboratories of the department.​

Recent projects

  • ​information technology and resource support for planning and operational monitoring of the financial and economic activities of subordinate institutions, carried out on special assignments from the Ministry of Science and Higher Education of the Russian Federation;
  • research and development of methods for forming a feature space of temporal dependencies for multilevel decision-making systems and complex diagnostic problems based on fuzzy logic;
  • development of principles for setting up fuzzy hierarchical diagnostic systems using statistical object models;
  • development of draft design solutions for automating equipment for autonomous heat and cold supply sources and their integration with typical automated building control systems using digital technologies for remote online monitoring and control;
  • intelligent methods and technologies for analysis and forecasting of multidimensional time series based on fuzzy cognitive production models.

        Features

        Design and creation of modern control systems for complex technical objects is impossible without the use of both classical methods of automatic control theory and modern methods of statistical, analytical and intelligent data processing, decision support systems, various tools and software that are part of information and analytical control systems .

        The educational process of the department is particularly oriented on this wide range of competencies, skills and abilities, including such disciplines as:        

        • Theory of automatic control;​
        • Statistical methods in engineering research;
        • Database management systems;
        • Computing machines, systems and networks;
        • Control systems modeling;
        • Robotics and flexible automated production;
        • Mechatronics;
        • Neuro-fuzzy technologies in control;
        • Software for automated systems;
        • Technical tools of automation and control;
        • Microcontrollers and microprocessors in control systems;
        • Data mining;
        • Neurocomputers and their application;
        • Intelligent systems;
        • Control systems for moving objects and manipulators;
        • Methods and algorithms for data and image processing;
        • Intelligent information systems;
        • Information security in computer systems;
        • Decision support systems;
        • Computer control technologies in technical systems;
        • Computer vision systems;
        • Intelligent control algorithms for robotic systems.

        Our graduates are reliably protected from unemployment by the high demand for specialists in the design and operation of control systems for various facilities in all areas of the economy, the constantly expanding areas of application of information systems and data processing systems.

        Our graduates work in all areas: from the maintenance and development of banking information systems for processing economic information to the design of specialized spacecraft control systems.

        Unique equipment

        The department has more than 10 educational and scientific laboratories equipped with modern equipment (photo below):

        1. educational and scientific laboratory "Theory of automatic control and the basics of robotics";
        2. educational and scientific laboratory "System analysis and synthesis of complex systems";
        3. educational and scientific laboratory of information technologies;
        4. educational laboratory "Microcontrollers and microprocessors in automation systems";
        5. educational and scientific laboratory "Industrial systems of automation and telemechanics";
        6. educational laboratory "Programmable logic controllers";
        7. educational laboratory "Mechatronics";
        8. educational laboratory "Mobile robots";
        9. educational laboratory "Electric drives";
        10. educational laboratory "Hydroautomatics";
        11. educational laboratory "Pneumoautomatics";

        The department has two scientific-research laboratories:

        - SRL "Modeling and automation of control and information processing  in complex organizational, technical and economic systems",

        - SRL "Automated control systems for technical objects".

        In addition, the department includes the Russian-German Center for Industrial Automation "MPEI Festo".​​

        Educational programs

        Bachelor

        27.03.04 Control in technical systems

        • - profile "Control and informatics in technical systems" (in Russian, full-time education);

        • - profile "Systems and technical means of automation and control" (in Russian, full-time education);

        • - profile "Automated control systems" (in Russian, distance learning).

        Master

        27.04.04 Control in technical systems

        - program "Control and Informatics in Technical Systems" (in Russian, full-time education);

        PhD

        2.3.1 System analysis, control and information processing.

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