Gradient descent is a widely used paradigm for solving many optimization problems. Gradient descent aims to minimize a target function in order to reach a local minimum. In machine learning or data ...

Based on this efficiency model, a novel gradient descent algorithm-based approach with a discrete search space and proper constraints is proposed to optimize the PMSM drive system efficiency, ensure a ...