Faculty of Information-control systems and technologies

Research and Development work at the Department

Last Updated: Friday, 20 April 2018 13:50

All necessary conditions for the professional growth of scientific and pedagogical personnel have been created at the department.

The main directions of work of the department of CE and CS in recent years has been the development of automatic control systems, the modeling of systems, computer technology and non-traditional neural-like computing and control systems.

Among the scientific developments, it is worth mentioning the works connected with the development of theoretical bases for the construction of neuro-automatic network structures, conducted under the guidance and with the participation of the Professor, Dr.Sci.Eng. Filippenko I.G., who is the author of this new scientific direction.

The value of the new scientific direction lies in the fact that it lays the groundwork for constructing neural-automatic reliable, fault-tolerant and survivable networks of structures on which algorithms of various purposes, in particular, digital control algorithms, can be realized.

Within the framework of this direction, the University carried out research work on the following topics:

  1. "Development of the concept of building intelligent fault-tolerant and robust control systems".
  2. "Development of the concept of building neural networks and neurocomputer technologies for high-performance information processors".

The main conclusions from these studies are as follows:

  • first proposed the concept of building reliable, fault-tolerant and robust neural networks for realizing on them computing and control systems of real time;
  • for the first time, a class of digital filters has been defined that can be implemented on neuro-automaton-network structures;
  • for the first time methods for converting the difference equations of digital filters into integer and integer-valued forms have been developed, which allows their representation in a neuro-automaton network view;
  • for the first time, procedures for the structural reflection of digital filter operations on neuro-automaton-network operations were proposed, which allowed formally to display the structures of integer, whole-valued filters on neuron-automatic network structures;
  • the methods for implementing the algorithm of the proportional-differential control law on the neuro-automaton-network basis were developed for the first time;
  • for the first time, the concept of multi-level transfer functions was proposed, which made it possible to propose the concept of constructing multilevel neuro-automaton network filters;
  • the method of synthesis of a multilevel neuro-automaton network PD controller proposed for the first time fully utilizes the theoretical and practical experience accumulated by mankind in the design of automatic control systems, in contrast to the methods for the synthesis of artificial neural regulatory systems, the design of which is more based on heuristic methods;
  • for the synthesized PD controller, computer models of its components and a computer model of the PD controller as a whole have been developed using object-oriented programming in the language of C++;
  • the obtained scientific results should be used in the construction of responsible and technologically dangerous systems, and the construction of neurochips, neurocomputers and synergetic neurotics to implement reliable, fault-tolerant and robust real-time control systems on them;
  • the results obtained give the ground for the possibility of transforming the obtained mathematical and computer models into the design language (VHDL or Verilog) of larger integrated circuits;
  • after the creation of the basic basic components of self-deterministic neural-like network structures on VHDL or Verilog, it is possible to switch to the production of larger integrated circuits, and then proceed to the industrial use of the obtained scientific and technological achievements;
  • the licensed ability of the received results is confirmed by 9 author's certificates on the components of the neural-automatic network basis;
  • the investment attractiveness of the results obtained may be of interest only to those industries that create control systems for complex, technogenic-dangerous objects, the malfunctions in which can lead to catastrophic consequences;
  • the obtained results can be used also in prospective projects related to the adoption of regulatory systems at railway transport facilities for which a given reliability, fault tolerance and living systems will be provided for a given period of the system's operation without human intervention in the operation of the system;
  • the results obtained in the work can be used in higher education institutions when teaching disciplines from the latest information technologies;
  • the results obtained on the construction of neuro-automatic networks can be attributed to the latest information technologies of the XXI century.

The department is engaged in training highly qualified specialists through postgraduate study.

Student scientific society constantly works at the department. Annually students report at scientific conferences the results of their work, theses of which are published in the collection of scientific works of the University.

Preparation of reports at the SSTC, Ph.D., Associate Professor Golovko A.