Feedback Linearization Control of Nonlinear System

Engineering Proceedings

article

Ivan Sergeevich Trenev¹  Daniil Dmitrievich Devyatkin¹ 

[1] V.A. Trapeznikov Institute of Control Sciences, Russian Academy of Sciences

关键词: neural network;    control;    Matlab;    Simulink;   

DOI  :  10.3390/engproc2023033036

来源: mdpi

【 摘 要 】

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.

【 授权许可】

Unknown