Model predictive control for a bending pneumatic muscle based on an online modified generalized Prandtl–Ishlinskii model
Author:
Funder
National Key R&D Program of China
Knowledge Innovation Program of Wuhan - Basic Research
National Natural Science Foundation of China
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s00521-024-09666-2.pdf
Reference37 articles.
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3. Liu Q et al (2022) Design and hierarchical force-position control of redundant pneumatic muscles-cable-driven ankle rehabilitation robot. IEEE Robot Autom Lett 7:502–509. https://doi.org/10.1109/lra.2021.3123747
4. Zhong B, Cao J, McDaid A, Xie SQ, Zhang M (2020) Synchronous position and compliance regulation on a bi-joint gait exoskeleton driven by pneumatic muscles. IEEE Trans Autom Sci Eng 17:2162–2166. https://doi.org/10.1109/tase.2020.2992890
5. Arachchige DD, Chen Y, Walker ID, Godage IS (2021) A novel variable stiffness soft robotic gripper (IEEE 2021). https://doi.org/10.1109/case49439.2021.9551616
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