5 citations · 9 across the 2 of their papers we have counts for
3 papers
Dynamic Hybrid Modeling: Incremental Identification and Model Predictive Control
Adrian Caspari, Thomas Bierweiler, Sarah Fadda +5
Mathematical models are crucial for optimizing and controlling chemical processes, yet they often face significant limitations in terms of computational time, algorithm complexity,…
Dynamic Optimization on Quantum Hardware: Feasibility for a Process Industry Use Case
Dennis Michael Nenno, Adrian Caspari
The quest for real-time dynamic optimization solutions in the process industry represents a formidable computational challenge, particularly within the realm of applications like m…
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…