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

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Automation 2019 (AUTOMATION 2019)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 920))

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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.

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Correspondence to Igor Korobiichuk .

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Tregub, V., Korobiichuk, I., Klymenko, O., Byrchenko, A., Rzeplińska-Rykała, K. (2020). Neural Network Control Systems for Objects of Periodic Action with Non-linear Time Programs. In: Szewczyk, R., Zieliński, C., Kaliczyńska, M. (eds) Automation 2019. AUTOMATION 2019. Advances in Intelligent Systems and Computing, vol 920. Springer, Cham. https://doi.org/10.1007/978-3-030-13273-6_16

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