2 citations · 6 across the 33 of their papers we have counts for
28 papers · 1 filter
Model-Agnostic Meta Learning for Differentiable MPC
Salma Elfeki, Riccardo Zuliani, Niklas Schmid +2
Applying policy optimization to Model Predictive Control (MPC) yields high-performance and reliable controllers. However, the resulting controllers often overfit their training con…
Multi-scale closed-loop melt pool control for LPBF via policy optimization
Junan Lin, Riccardo Zuliani, Baris Kavas +3
Laser powder bed fusion (LPBF) is a metal additive manufacturing process where temperature stabilization is of vital importance to avoid defects such as distortion and cracking. Ex…
Policy Optimization with Differentiable MPC: Convergence Analysis under Uncertainty
Riccardo Zuliani, Efe C. Balta, John Lygeros
Model-based policy optimization is a well-established framework for designing reliable and high-performance controllers across a wide range of control applications. Recently, this…
One-Shot Camera-Based Extrusion Optimization for High Speed Fused Filament Fabrication
Yufan Lin, Xavier Guidetti, Yannick Nagel +2
Off-the-shelf fused filament fabrication 3D printers are widely accessible and convenient, yet they exhibit quality loss at high speeds due to dynamic mis-synchronization between p…
Layer-to-layer Closed-loop Switched Heating and Cooling Control of the Laser Powder Bed Fusion Process
Barış Kavas, Efe C. Balta, Lars Witte +3
This study investigates the stabilization of interlayer temperature in the laser powder bed fusion process through a novel switched layer-to-layer closed-loop feedback controller.…
Closed Loop Reference Optimization for Extrusion Additive Manufacturing
Rawan Hoteit, Andrea Balestra, Nathan Mingard +2
Various defects occur during material extrusion additive manufacturing processes that degrade the quality of the 3D printed parts and lead to significant material waste. This motiv…