Neural Network Control Systems for Objects of Periodic Action with Non-linear Time Programs

Victor Tregub , Igor Korobiichuk , Oleh Klymenko , Alena Byrchenko , Katarzyna Rzeplińska-Rykała


The research is devoted to the development and comparison of one-circuit and combined automatic control systems (ACS), as well as combined ACS with logic devices and ACS with a neural network controller for program control of periodic action apparatuses. The effectiveness of the listed systems was evaluated by the accuracy of the implementation of time programs with non-linear distributions in different variants of transition from one section to another.
Author Victor Tregub - [National University of Food Technologies Kiev Ukraine]
Victor Tregub,,
- National University of Food Technologies Kiev Ukraine
, Igor Korobiichuk (FM / IACR)
Igor Korobiichuk,,
- The Institute of Automatic Control and Robotics
, Oleh Klymenko - National University of Food Technologies Kiev Ukraine [National University of Food Technologies of Ukraine]
Oleh Klymenko,,
, Alena Byrchenko - National University of Food Technologies Kiev Ukraine [National University of Food Technologies of Ukraine]
Alena Byrchenko,,
, Katarzyna Rzeplińska-Rykała - Industrial Research Institute for Automation and Measurements (PIAP) [Przemyslowy Instytut Automatyki i Pomiarow, Warsaw]
Katarzyna Rzeplińska-Rykała,,
Publication size in sheets0.5
Book Szewczyk Roman, Zieliński Cezary, Kaliczyńska Małgorzata (eds.): Automation 2019: Progress in Automation, Robotics and Measurement Techniques, Advances in Intelligent Systems and Computing, vol. 920, 2020, Cham, Switzerland, Springer, ISBN 978-3-030-13272-9, [978-3-030-13273-6], 727 p., DOI:10.1007/978-3-030-13273-6
Keywords in Englishneural network controller, apparatus of periodic action, non-linear time programs, logic devices
Languageen angielski
Score (nominal)20
Score sourcepublisherList
ScoreMinisterial score = 20.0, 07-07-2020, ChapterFromConference
Publication indicators Scopus Citations = 1
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