Integrated Observer-based Fixed-time Control with Backstepping Method for Exoskeleton Robot
Author:
Publisher
Springer Science and Business Media LLC
Subject
Applied Mathematics,Computer Science Applications,Modeling and Simulation,Control and Systems Engineering
Link
http://link.springer.com/content/pdf/10.1007/s11633-019-1201-z.pdf
Reference38 articles.
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2. B. Brahmi, M. Saad, C. Ochoa-Luna, M. H. Rahman, A. Brahmi. Adaptive tracking control of an exoskeleton robot with uncertain dynamics based on estimated time-delay control. IEEE-ASME Transactions on Mechatronics, vol. 23, no. 2, pp. 575–585, 2018. DOI: https://doi.org/10.1109/TMECH.2018.2808235 .
3. Z. Li, W. H. Ma, Z. G. Yin, H. J. Guo. Tracking control of time-varying knee exoskeleton disturbed by interaction torque. ISA Transactions, vol. 71, pp. 458–466, 2017. DOI: https://doi.org/10.1016/j.isatra.2017.08.004 .
4. L. Zhao, H. Y. Cheng, Y. Q. Xia, B. Liu. Angle tracking adaptive backstepping control for a mechanism of pneumatic muscle actuators via an AESO. IEEE Transactions on Industrial Electronics, vol. 66, no. 6, pp. 4566–4576, 2019. DOI: https://doi.org/10.1109/TIE.2018.2860527 .
5. Z. J. Li, C. Y. Su, L. Y. Wang, Z. T. Chen, T. Y. Chai. Nonlinear disturbance observer-based control design for a robotic exoskeleton incorporating fuzzy approximation. IEEE Transactions on Industrial Electronics, vol. 62, no. 9, pp. 5763–5775, 2015. DOI: https://doi.org/10.1109/TIE.2015.2447498 .
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2. Model-free based adaptive BackStepping-Super Twisting-RBF neural network control with α-variable for 10 DOF lower limb exoskeleton;International Journal of Intelligent Robotics and Applications;2024-02-25
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