Improving the Accuracy of a Robot by Using Neural Networks (Neural Compensators and Nonlinear Dynamics)

The subject of this paper is a programmable con trol system for a robotic manipulator. Considering the complex nonlinear dynamics involved in practical applications of systems and robotic arms, the traditional control method is here replaced by the designed Elma and adaptive radial basis function ne...

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Detalhes bibliográficos

Principais autores:	Zhengjie Yan, Yury Klochkov, Lin Xi
Formato:	Artigo
Idioma:	Inglês
Publicado em:	MDPI AG 2022-08-01
Colecção:	Robotics
Assuntos:	robot manipulator programmable control system neural network nonlinear multivariate compensators modeling dynamic analysis
Acesso em linha:	https://www.mdpi.com/2218-6581/11/4/83
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