Articles | Volume 17, issue 2
https://doi.org/10.5194/ms-17-759-2026
© Author(s) 2026. This work is distributed under the Creative Commons Attribution 4.0 License.
Research article
| 
27 Jul 2026
Research article |
| 27 Jul 2026
| 27 Jul 2026
Trajectory-tracking control of the UR10 manipulator based on radial basis function neural network and super-twisting sliding mode
Cited articles
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Agarwal, V. and Parthasarathy, H.: Disturbance estimator as a state observer with extended Kalman filter for robotic manipulator, Nonlinear Dynam., 85, 2809–2825, https://doi.org/10.1007/s11071-016-2864-4, 2016.
Ai, H.-B., He, X.-R., and Yin, C.-W.: Predefined-time super-twisting sliding mode control for construction robot with arbitrary initial values, Sensors, 26, 1654, https://doi.org/10.3390/s26051654, 2026.
Al-Dujaili, A. Q., Falah, A., Humaidi, A. J., Pereira, D. A., and Ibraheem, I. K.: Optimal super-twisting sliding mode control design of robot manipulator: Design and comparison study, Int. J. Adv. Robot. Syst., 17, 1729881420981524, https://doi.org/10.1177/1729881420981524, 2020.
Chen, J. Q., Zhang, H. Y., Pan, S. T., Zhu, T. T., and Lin, Y. Z.: A time-varying second-order sliding mode control of super-twisting based on radial basis function neural networks, J. Braz. Soc. Mech. Sci., 47, 6, https://doi.org/10.1007/s40430-025-05577-y, 2025.
