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Statistical synthesis of difficult technical systems on the basis of the inversion samples

Keywords:

N.A. Severtsev – Dr. Sc. (Eng.), Professor, Head of Department, FRC «Computer Science and Control» RAS (Moscow)
E-mail: wcan@ccas.ru
V.M. Balyk – Dr. Sc. (Eng.), Professor, Moscow Aviation Institute (National Research University)
E-mail: malenkov.anton@mail.ru
E.V. Balyk – Post-graduate Student, Moscow Aviation Institute (National Research University)
E-mail: malenkov.anton@mail.ru
Nguyen Quang Thuong – Dr. Sc. (Eng.), Senior Research Scientist, State University of Management (Moscow)
E-mail: tikhonovrus@gmail.com


The problem of identifying short-term and long-term prediction, pattern recognition based on a unified method of statistical synthesis is formulated. The statistical feature of the synthesis is that here are the samples of variable composition, which reflects all the re-quirements and conditions of the exactly solvable problems. In particular, we consider the opposite (inverse) of the sample allowing to build inverse functions, needed to build predictive models and solving problems of identification.

References:
  1. Severczev N.A., Shipilov V.V., Kuksin K.G. Upravlenie obespecheniem bezopasnosti slozhny’x sistem i ob’‘ektov v usloviyax neopredelennosti. Fundamental’ny’e problemy’ sistemnoj bezopasnosti // Sb. nauch. statej. № 4. M.: VCz RAN. 2014. S. 554−561.
  2. Baly’k V.M. Statisticheskij sintez proektny’x reshenij pri razrabotke slozhny’x sistem. M.: MAJ. 2011. S. 280.
  3. Baly’k V.M., Baly’k E.V., Kulakova R.D. Statisticheskie modeli ustojchivogo prognozirovaniya razvitiya slozhny’x texnicheskix sistem // Naukoemkie texnologii. 2015. № 6. S. 53−56.
  4. Svyatodux V.K. Dinamika prostranstvennogo dvizheniya upravlyaemy’x raket. M.: Mashinostroenie. 1989.

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