Robust adaptive backstepping INTSM control for robotic manipulators based on ELM
Author:
Funder
National Natural Science Foundation of China
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Software
Link
http://link.springer.com/content/pdf/10.1007/s00521-021-05824-y.pdf
Reference43 articles.
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3. He W, Yan Z, Sun Y, Ou Y, Sun C (2018) Neural-learning-based control for a constrained robotic manipulator with flexible joints. IEEE Trans Neural Netw Learn Syst 29(12):5993–6003
4. Suarez A, Heredia G, Ollero A (2018) Physical-virtual impedance control in ultralightweight and compliant dual-arm aerial manipulators. IEEE Robot Autom Lett 3(3):2553–2560
5. Wang H, Mi CL, Cao ZW, Zheng JC, Man ZH, Jin XZ, Tang H (2020) Precise discrete-time steering control for robotic fish based on data-assisted technique and super-twisting-like algorithm. IEEE Trans Industr Electron 67(12):10587–10599
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