Research integrated identification method

Authors

  • A. M. Silvestrov National Aviation University
  • G. I. Kryvoboka National University of Food Technologies
  • R. V. Zaharchenko Poltava National Technical Yuri Kondratyuk University

DOI:

https://doi.org/10.18372/1990-5548.51.11688

Keywords:

Identification, assessment, adaptive management

Abstract

Considered a new method to identify objects in the presence of random errors in measurementsof input and output signals. Confirmed the possibility not displaced efficient parameter estimatesfacility proposed method

Author Biographies

A. M. Silvestrov, National Aviation University

Doctor of Engineering. Professor.Institute of Information Diagnostic Systems

G. I. Kryvoboka, National University of Food Technologies

Postgraduate. Department of Information Systems

R. V. Zaharchenko, Poltava National Technical Yuri Kondratyuk University

Poltava National Technical Yuri Kondratyuk University

References

M. J. Ostroverhov, A. N. Silvestrov, and A. N. Skrynnik. Systems and methods identification of electrical facilities. Kyiv, NAU, 2016, 324 p. (in

Ukraine)

A. N. Silvestrov and P. I. Chynaev, Identification and optimization of automatic systems. Moscow, Energoatomizdat,

, 200 p. (in Russian).

K. H. Zelensky, V. N. Ignatenko, and A. P. Kotz. Computer methods in applied mathematics. Kyiv, Academ-Periodicals, 2002, 480 p. . (in Ukraine)

Methods Automatic Management Theory. Edited by N. D. Yegunov. Moscow, MSTU them. Bauman, 2000, 748 p. (in Russian).

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Issue

Vol. 1 No. 51 (2017)

Section

AUTOMATIC CONTROL SYSTEMS

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