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
Abstract
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 | |
| Pages | 155-164 |
| 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 |
| DOI | DOI:10.1007/978-3-030-13273-6_16 |
| URL | https://link.springer.com/chapter/10.1007/978-3-030-13273-6_16 |
| Language | en angielski |
| Score (nominal) | 20 |
| Score source | publisherList |
| Score | = 20.0, 10-01-2020, ChapterFromConference |
| Publication indicators | = 1 |
| Citation count* |
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* presented citation count is obtained through Internet information analysis and it is close to the number calculated by the Publish or Perish system.
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