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Optical Memory and Neural Networks

Erschienen in:

01.12.2023

Optimal Control Selection for Stabilizing the Inverted Pendulum Problem Using Neural Network Method

verfasst von: D. A. Tarkhov, D. A. Lavygin, O. A. Skripkin, M. D. Zakirova, T. V. Lazovskaya

Erschienen in: Optical Memory and Neural Networks | Sonderheft 2/2023

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Abstract—

The task of managing unstable systems is a critically important management problem, as an unstable object can pose significant danger to humans and the environment when it fails. In this paper, a neural network was trained to determine the optimal control for an unstable system, based on a comparative analysis of two control methods: the implicit Euler method and the linearization method. This neural network identifies the optimal control based on the position of a point on the phase plane.

Vorheriger Artikel Influence of Neural Network Receptive Field on Monocular Depth and Ego-Motion Estimation

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Titel: Optimal Control Selection for Stabilizing the Inverted Pendulum Problem Using Neural Network Method
verfasst von: D. A. Tarkhov
D. A. Lavygin
O. A. Skripkin
M. D. Zakirova
T. V. Lazovskaya
Publikationsdatum: 01.12.2023
Verlag: Pleiades Publishing
Erschienen in: Optical Memory and Neural Networks / Ausgabe Sonderheft 2/2023
Print ISSN: 1060-992X
Elektronische ISSN: 1934-7898
DOI: https://doi.org/10.3103/S1060992X23060115

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