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Engineering ProceedingsEngineering Proceedings
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  • Proceeding Paper
  • Open Access

20 June 2023

6 Pages

Feedback Linearization Control of Nonlinear System †

and
V.A. Trapeznikov Institute of Control Sciences, Russian Academy of Sciences, 65 Profsoyuznaya Street, 117997 Moscow, Russia
*
Author to whom correspondence should be addressed.
†
Presented at the 15th International Conference “Intelligent Systems” (INTELS’22), Moscow, Russia, 14–16 December 2022.
‡
These authors contributed equally to this work.
Eng. Proc.2023, 33(1), 36;https://doi.org/10.3390/engproc2023033036
This article belongs to the Proceedings of 15th International Conference “Intelligent Systems” (INTELS’22)
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Abstract

In this work, a neural network controller is developed for a wide class of nonlinear systems including dynamic systems in the Brunovsky canonical form and those with skew-symmetry properties and bounded nonlinearities. An example of the applicability of this controller to the control of the position of a magnet over an electromagnet is considered. The modeling has been provided through the Simulink environment.

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