3 papers
cs.LG2021
Using Gaussian Processes to Design Dynamic Experiments for Black-Box Model Discrimination under Uncertainty
Simon Olofsson, Eduardo S. Schultz, Adel Mhamdi +3
Diverse domains of science and engineering use parameterised mechanistic models. Engineers and scientists can often hypothesise several rival models to explain a specific process o…
math.OC2021
Optimal operating policies for organic Rankine cycles for waste heat recovery under transient conditions
Yannic Vaupel, Wolfgang R. Huster, Adel Mhamdi +1
Waste heat recovery for trucks via organic Rankine cycle is a promising technology to reduce fuel consumption and emissions. As the vehicles are operated in street traffic, the hea…
math.OC2020
Adaptive Learning of Hybrid Models for Nonlinear Model Predictive Control of Distillation Columns
Jannik T. Lüthje, Jan C. Schulze, Adrian Caspari +3
Nonlinear model predictive control (NMPC) requires accurate and computationally efficient plant models. Our previous work has shown that the classical compartmentalization model re…