Abstract: Combining the properties of monovariate internal functions as proposed in Kolmogorov Superimposition Theorem, in tandem with the bounds wielded by the multivariate formulation of Chebyshev ...

Abstract: This article proposes a data-driven inverse flux map for induction motors (IM) using a deep neural network (DNN). The proposed method enables the direct mapping of stator and rotor currents ...