RISE-Adaptive Neural Control for Robotic Manipulators With Unknown Disturbances
In this paper, a RISE-based adaptive neural network prescribed performance control is presented for the robotic manipulator with unknown disturbance. A prescribed performance function (PPF) characterizing settling time, overshoot, steady-state error, and convergence rate is presented to improve the...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2020-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/9099566/ |