Enhanced Sampled-Data Model Predictive Control via Nonlinear Lifting
The episode discusses a paper titled "Enhanced Sampled-Data Model Predictive Control via Nonlinear Lifting." The hosts explain that this framework uses a lifting technique to enhance control performance for nonlinear systems operating in discrete time. They detail how the authors combine fast-sample fast-hold approximations and numerical integration to model intersample dynamics, addressing issues like direct feedthrough terms.