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Home Aerospace & Aeronautics Methods and software tools for creation of high-performance measuring and controlling systems

Methods and software tools for creation of high-performance measuring and controlling systems


When a new complex technical system is developed, during the phase of determining the applied mathematical models, it is essential to provide a comprehensive analysis of various uncertainties, which should be intrinsic to all real objects. Afterward this information may be updated, but factor of uncertainties must always be taken into account during development of all measuring/control systems.

YUZHNOYE SDO scientists and engineers had developed a new approach that provides solving a number of stochastic optimization problems for Linear Dynamic Systems (LDS) with Parametric Uncertainties (PU), which is based on application of tensor formalism. Within proposed approach had been obtained the new, high-performance solutions for following problems:

  • Prediction of states for LDS with PU of various types;
  • Data processing for LDS with PU (filtration and identification problems);
  • Optimal controls for LDS with PU of various types.

Implementation of this R&D will provide a creation of methodological and software tools for development of anew and upgrading existing data processing/control systems with the best performance capabilities (such as exactness, reliability, robustness etc). These tools should find a use for designing of various industrial and technological applications.

Innovative Aspect and Main Advantages

Theoretical results obtained under this R&D was high valued by Prof. G. Saridis, Prof. S. Mitchell, Prof. J. Baillieul (U.S.A.), Prof. A. Erkmen (Turkey), engineering staff of Sea Launch and Boeing companies (U.S.A.) and Head of Coordination Committee on Design Methods of the International Federation of Automatic Control (IFAC) Prof. R. Bars.

Proposed mathematical models provide a possibility to describe rather adequately following processes and phenomena:

  • Scattering of system parameters values in a line (production batch);
  • Changing of system parameters during maintenance (system «aging», or derating);
  • Effects on parameters unpredictable and/or random factors;
  • Taking into account the errors of linearization of mathematical model of system.

Proposed solutions may be considered as some alternative to modern widely used adaptive methods. On the other hand, it seems that some combination neural network/fussy system approaches and proposed one will provide the best solutions of nonlinear stochastic problems.

Areas of Application

Preliminary simulations of pilot application software had showedup the high-performances in comparison with well-known methods. Now we are carrying out the R&D focused on creation the problem algorithm for following applications:

  • Speech recognition systems;
  • Improved solutions for INS;
  • High-precision data processing for GPS.

Fast Exact Solution for Traveling Salesman Problem (TSP)
Fig. 1 Fast Exact Solution for Traveling Salesman Problem (TSP)

Stage of Development

Development, debugging and testing of problem software.

Contact Details

Project manager: Vadim Yatsenko
Fax: (056) 7700125
e-mail: This e-mail address is being protected from spambots. You need JavaScript enabled to view it

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