The design of a neural network-based adaptive control method for robotic arm trajectory tracking
Author:
Funder
Key Scientific and Technological Project of Henan Province
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Software
Link
https://link.springer.com/content/pdf/10.1007/s00521-022-07646-y.pdf
Reference20 articles.
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2. Jiang W, Wu G, Wang W, Zhang J, Fan F, Ye X (2018) Robust motion control of live-line maintenance robot mechanical arm for high-voltage transmission line based on H theory. Trans Inst Meas Control 40(3):951–967
3. Panwar V (2017) Wavelet neural network-based H∞ trajectory tracking for robot manipulators using fast terminal sliding mode control. Robotica 35(7):1–16
4. Zhang J, Meng WJ, Tao S, Guo ZF, Gao XH (2020) Design and simulation of space pose controller for mine-used bolter manipulator based on fractional order algorithm. Appl Mech Mater 900(34):20–26
5. Nu Z, Niu W, Junrong Z (2017) Research on optimized control of six - DOF manipulator with uncalibrated visual servo. AIP Conf Proc 1834(1):1–7
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