Saturated adaptive back-stepping control for robot manipulators with RBF neural network approximation
Author:
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/7811905/7831787/07832065.pdf?arnumber=7832065
Cited by 6 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. Model-based robust servo control for permanent magnet synchronous motor with inequality constraint;Measurement Science and Technology;2023-10-18
2. Fixed-Time Sliding Mode Control for Air-Floating Robot Using Actor–Critic Learning Structure;IECON 2023- 49th Annual Conference of the IEEE Industrial Electronics Society;2023-10-16
3. Model-based Robust Control of Permanent Magnet Synchronous Motor for Joint Module of Cooperative Robot;2023 International Conference on Advanced Robotics and Mechatronics (ICARM);2023-07-08
4. Adaptive neural backstepping control for flexible-joint robot manipulator with bounded torque inputs;Neurocomputing;2021-10
5. Reinforcement Learning-Based Fixed-Time Trajectory Tracking Control for Uncertain Robotic Manipulators With Input Saturation;IEEE Transactions on Neural Networks and Learning Systems;2021
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