A predefined-time radial basis function (RBF) neural network tracking control method considering actuator faults for a new type of spraying robot
<p>A small-range fine-spraying collaborative robot (SFSC) for vehicle surface repair has been designed, which has 4 degrees of freedom. Conventional control methods, such as sliding mode control (SMC) have difficulty meeting the accuracy requirements when the end of the attitude adjustment rob...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Copernicus Publications
2025-01-01
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| Series: | Mechanical Sciences |
| Online Access: | https://ms.copernicus.org/articles/16/51/2025/ms-16-51-2025.pdf |
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