Neural Adaptive Control for Robotic Systems With Saturation and Disturbance
This paper proposes a neural adaptive control (NAC) strategy for the robotic systems with saturation and disturbance. The strategy involves using a neural network (NN) to estimate the robot's dynamic model and constructing a compensator to mitigate the impact of input saturation. To obtain esti...
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Published in | 2023 8th International Conference on Automation, Control and Robotics Engineering (CACRE) pp. 242 - 247 |
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Main Authors | , , , |
Format | Conference Proceeding |
Language | English |
Published |
IEEE
01.07.2023
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Subjects | |
Online Access | Get full text |
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