This paper studies constrained optimization problems through the lens of feedback control. Building on the interpretation of Lagrange multipliers as feedback controllers, we propose the \emph{saddle-point PID (SPPID) dynamics}: a unified proportional--integral--derivative (PID) framework for continuous-time saddle-poin...
Veronica Centorrino, Rawan Hoteit, Efe C. Balta et al.· 0 citations
This work proposes a novel framework combining policy optimization with meta-learning to train highly adaptable MPC controllers, which enables rapid adaptation to unseen tasks, maintaining high performance at a fraction of the computational cost required for full retraining.
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. Existing control methods require manual tuning, increasing the risk of part failure when printing complex geometries. This paper introduces a...
Jun-Feng Lin, Riccardo Zuliani, Barış Kavas et al.· arXiv.org· 0 citations
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