How machine learning helps MEMS actuators move in perfect lines

Microelectromechanical systems (MEMS) electrothermal actuators are widely used in applications ranging from micro-optics and microfluidics to nanomaterial testing, thanks to their compact size and ...
IEEE

Learning Expert-Level Racing Strategies via Scheduled Cost Functions in Model Predictive Control

Abstract: In racing sports, driving strategies necessitate meticulous control and optimal utilization of vehicle dynamics. Model predictive control (MPC) has emerged as an effective approach for ...
IEEE

Simultaneous Inverse Design and Uncertainty Quantification for Frequency-Selective Rasorber With Tunable and Switchable Abilities by Bayesian Deep Learning

Abstract: A Bayesian deep learning (DL) scheme is proposed for simultaneous inverse design and uncertainty qualification (UQ) for frequency-selective rasorber (FSR) with switchable and tunable (S/T) ...