SILO starts from a deliberately small Python implementation. The goal is to make solver architecture readable before making it fast. Early phases prioritize clear mathematical conventions, ...

Abstract: In this letter, a machine learning-based algorithm, K-nearest neighbor, is employed to predict the actual patterns of the linear arrays with arbitrary positions and varied element numbers.

Abstract: Serious torque ripple restricts the application advantage of the switched reluctance machine (SRM). Moreover, the nonlinear characteristics of SRM lead to the complexity of torque control. A ...