Hybrid Physics-Informed Learning for Multi-Objective Surrogate Models for Nonlinear Magnetic Bearing Actuator
Learning-based surrogate modeling techniques have been extensively investigated and provide practical alternative in electromechanical systems. Traditional implementations rely on lookup tables, which, while accurate, depend on an interpolated discrete simulation dataset generated from the computationally expensive hig...