Data from Chinese Academy of Sciences Provide New Insights into Robotics (Adaptive Local Approximation Neural Network Control Based On Extraordinariness Particle Swarm Optimization for Robotic Manipulators)

摘要

By a News Reporter-Staff News Editor at Network Daily News – Data detailed on Robotics have been presented. According to news reporting originating from Jilin, People’s Republic of China, by NewsRx correspondents, research stated, “In this paper, an adaptive radial basis function neural network (RBFNN) controller based on extraordinariness particle swarm optimization (EPSO) is proposed. To improve the trajectory tracking performance of robotic manipulators, the uncertainties of the manipulator dynamic equation are locally approximated using three RBFNNs with optimized hyperparameters.” Financial supporters for this research include National Natural Science Foundation of China (NSFC), National Key R&D Program of China.