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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主要な著者:	Zhengjie Yan, Yury Klochkov, Lin Xi
フォーマット:	Artigo
言語:	Inglês
出版事項:	MDPI AG 2022-08-01
シリーズ:	Robotics
主題:	robot manipulator programmable control system neural network nonlinear multivariate compensators modeling dynamic analysis
オンライン･アクセス:	https://www.mdpi.com/2218-6581/11/4/83
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