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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Bibliographic Details
Published in2023 8th International Conference on Automation, Control and Robotics Engineering (CACRE) pp. 242 - 247
Main Authors Ding, Shuai, Peng, Jinzhu, Liu, Yan, Wu, Yage
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.07.2023
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