SYNTHESIS NEUROREGULATORS BASED REFERENCE MODEL FOR CONTROLLING NONLINEAR DYNAMIC OBJECT

  • Алексей Алексеевич Варфоломеев Institute of Technology, (New Jersey, USA)
  • Татьяна Ефимовна Василец Ukrainian Engineering and Pedagogical Academy
  • Борис Борисович Кобылянский Ukrainian Engineering and Pedagogical Academy
  • Валерий Витальевич Коломиец Ukrainian Engineering and Pedagogical Academy
  • Борис Иванович Кузнецов Ukrainian Engineering and Pedagogical Academy
  • Сергей Николаевич Лутай Ukrainian Engineering and Pedagogical Academy

Abstract

Model Reference Neural Network Controller is synthesized for the control system of the moving qualified objects. It is shown an example of the synthesized neural network system dynamic performance.

Author Biographies

Алексей Алексеевич Варфоломеев, Institute of Technology, (New Jersey, USA)
Doctoral student
Татьяна Ефимовна Василец, Ukrainian Engineering and Pedagogical Academy

Candidate of Technical Sciences, Associate Professor

Борис Борисович Кобылянский, Ukrainian Engineering and Pedagogical Academy

Assistant

Валерий Витальевич Коломиец, Ukrainian Engineering and Pedagogical Academy

Candidate of Technical Sciences, Associate Professor

Борис Иванович Кузнецов, Ukrainian Engineering and Pedagogical Academy

doctor of technical sciences, head of department

Сергей Николаевич Лутай, Ukrainian Engineering and Pedagogical Academy

Candidate of Technical Sciences, Associate Professor

Published
2019-02-16
Issue
No. 3(79) (2011): Electrotechnic and Computer Systems
Section
Automated Electromechanical Systems