Library intelligent navigation robot control based on improved machine learning algorithm
Aiming at the problem that the driving system parameters of traditional intelligent navigation robot are fixed,goal representation heuristic dynamic programming proportional integral control method is proposed.This method is an improved ma-chine learning algorithm,which can automatically adjust the parameters through continuous online learning,so as to enhance the anti-disturbance ability of the driving system of the intelligent navigation robot.Finally,the proposed algorithm is verified and com-pared with the traditional method.The results show that the proposed method can effectively improve the robustness and anti-disturbance ability of the driving system of the intelligent navigation robot.
NETL
NSTL
万方数据
