Brushless DC motor control using a general regression neural network
Joseph Patton · 2002
A general regression neural network (GRNN) is used to simulate the speed control of a brushless DC motor. The GRNN offers advantages over conventional controllers in terms of adaptability, robustness to parameter variation, and simplicity. Because of its capability to learn quickly, the GRNN is particularly suited to online learning of changing plant conditions.