3 papers
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…
math.OC2017
Tighter McCormick Relaxations through Subgradient Propagation
Jaromił Najman, Alexander Mitsos
Tight convex and concave relaxations are of high importance in the field of deterministic global optimization. We present a heuristic to tighten relaxations obtained by the McCormi…