BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//Memento EPFL//
BEGIN:VEVENT
SUMMARY:Dual-loop Adaptive Iterative Learning Control for Robust Temperatu
 re Stabilization in Selective Laser Melting
DTSTART:20250220T110000
DTEND:20250220T120000
DTSTAMP:20260525T112408Z
UID:aceb37387c7206371d83ddf392af730f09ac474c2eae41a62d659d9c
CATEGORIES:Conferences - Seminars
DESCRIPTION:Mr. Junan Lin\,  Master Student @ ETH Zurich    \nAbstrac
 t:\nSelective laser melting (SLM) is a metal additive manufacturing proces
 s. Temperature stabilization in SLM is of vital importance to avoid defect
 s such as distortion and cracking. Existing control methods require manual
  tuning under potential model mismatch\, and they can fail when printing c
 omplex geometries. This paper introduces a dual-loop control strategy to s
 tabilize the surface temperature for robustness and near-optimal performan
 ce in the presence of model mismatch and measurement noise. The proposed m
 ethod integrates in-layer feedback control via linear output feedback with
  gains pre-optimized by a policy gradient method\, and layer-to-layer feed
 back control that combines temperature trajectory optimization and iterati
 ve learning control. Simulation results show that the dual-loop controller
  stabilizes the temperature well for each surface layer\, even under signi
 ficant model mismatch and measurement noise. Experiments on a physical SLM
  platform demonstrates that the proposed simulation-based auto-tuning appr
 oach achieves performance on par with a state-of-the-art in-situ-tuned con
 troller.\n\nBio: \nMr. Junan Lin is a master student in Robotics\, Systems
  and Control program at ETH Zürich\, and is expected to graduate in May\,
  2025. He received his bachelor degree in Automation in 2022 from Beihang 
 University\, China. His research interests include control theory\, machin
 e learning and their applications. Currently\, he is doing his master thes
 is about approximating optimal control in infinite horizon constrained LQR
  by short-horizon MPCs\, in Automatic Control Laboratory (IfA) at ETH Zür
 ich.\n\n 
LOCATION:ME C2 405 https://plan.epfl.ch/?room==ME%20C2%20405
STATUS:CONFIRMED
END:VEVENT
END:VCALENDAR