2021
DOI: 10.22363/2312-8143-2021-22-2-129-138
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Synthesis of a mobile robot spatial stabilization system based on machine learning control by symbolic regression

Abstract: The spatial stabilization system synthesis problem of the robot is considered. The historical overview of methods and approaches for solving the problem of control synthesis is given. It is shown that the control synthesis problem is the most important task in the field of control, for which there are no universal numerical methods for solving it. As one of the ways to solve this problem, it is proposed to use the method of machine learning based on the application of modern symbolic regression methods. This a… Show more

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