Bayesian Framework for Optimization of Electromagnetics Problems

Abstract

Increasing application scope of internet-of-things devices have resulted in strict design requirements such as compact systems and efficient power delivery architectures to reduce battery wastage. RF wireless power transfer (WPT) have shown to be promising to address these issues, but with the cost of increased design complexity. In this work, we show a Bayesian framework to address this complexity and perform system-level electromagnetic-circuit co-optimization of the WPT system.