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
AbstractThe 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.
|Publication size in sheets||0.5|
|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, Springer, ISBN 978-3-030-13272-9, [978-3-030-13273-6], 727 p., DOI:10.1007/978-3-030-13273-6|
|Keywords in English||neural network controller, apparatus of periodic action, non-linear time programs, logic devices|
|Score||= 20.0, 10-01-2020, ChapterFromConference|
|Publication indicators||= 1|
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