DIGITAL NEURO-FUZZY CONTROL OF LINEAR HIGH-CURRENT ELECTRON ACCELERATOR UNITS

Authors

  • S. G. Udovenko Kharkiv National University of Radio Electronics, Ukraine
  • А. А. Shamraev Kharkiv National University of Radio Electronics, Ukraine
  • G. Dibe Kharkiv National University of Radio Electronics, Ukraine

DOI:

https://doi.org/10.15588/1607-3274-2009-2-19

Abstract

In the work the control structure is offered and the digital control methods for the linear accelerator blocks with use of fuzzy and artificial neural networks models are developed. The simulation data is confirmative efficiency of the considered methods.

Author Biographies

S. G. Udovenko, Kharkiv National University of Radio Electronics

Doctor of Technical Sciences, Professor

А. А. Shamraev, Kharkiv National University of Radio Electronics

Ph.D., Associate Professor

G. Dibe, Kharkiv National University of Radio Electronics

Postgraduate

References

Dovbnya A. N. Opredeleniye parametrov modeli magnitnogo spektrometra po eksperimental'nym dannym / A. N. Dovbnya, S. G. Udovenko, A. A. Shamrayev // Radíoyelektron íka, ínformatika, upravlínnya. – 2008. – Vyp. 1 (19). – S. 45–49.

Efstathiou J. Architectures and techniques of artificial intelligence in process control / J. Efstathiou // Artificial intelligence in real-time control, 1992. – Oxford : Pergamon, 1993. – V. 17. – P. 348–361.

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Published

2024-10-03

How to Cite

Udovenko, S. G., Shamraev А. А., & Dibe, G. (2024). DIGITAL NEURO-FUZZY CONTROL OF LINEAR HIGH-CURRENT ELECTRON ACCELERATOR UNITS. Radio Electronics, Computer Science, Control, (2), 101. https://doi.org/10.15588/1607-3274-2009-2-19

Issue

No. 2 (2009): Radio Electronics, Computer Science, Control

Section

Neuroinformatics and intelligent systems

License

Copyright (c) 2014 S. G. Udovenko, А. А. Shamraev, G. Dibe

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