Rapid Machine Learning–Driven Modeling for Large-Scale Validation and Optimization of Control Variables in Wireless Power Transfer Systems
Beyond drastically reducing simulation time and experimental effort, this methodology will enable knowledge extraction and its use for formulating design rules, paving the groundwork for developing simplified, real-time adaptive control strategies, facilitating the reduction of control variables and the narrowing of se...