82 citations · 229 across the 29 of their papers we have counts for
6 papers · 1 filter
Learning-Based Repetitive Precision Motion Control with Mismatch Compensation
Efe C. Balta, Kira Barton, Dawn M. Tilbury +2
Learning-based control methods utilize run-time data from the underlying process to improve the controller performance under model mismatch and unmodeled disturbances. This is bene…
Batch Model Predictive Control for Selective Laser Melting
Riccardo Zuliani, Efe C. Balta, Alisa Rupenyan +1
Selective laser melting is a promising additive manufacturing technology enabling the fabrication of highly customizable products. A major challenge in selective laser melting is e…
In-layer Thermal Control of a Multi-layer Selective Laser Melting Process
Dominic Liao-McPherson, Efe C. Balta, Ryan Wüest +2
Selective Laser Melting (SLM) is an additive manufacturing technology that builds three dimensional parts by melting layers of metal powder together with a laser that traces out a…
Safe and Efficient Model-free Adaptive Control via Bayesian Optimization
Christopher König, Matteo Turchetta, John Lygeros +2
Adaptive control approaches yield high-performance controllers when a precise system model or suitable parametrizations of the controller are available. Existing data-driven approa…
Performance-based Trajectory Optimization for Path Following Control Using Bayesian Optimization
Alisa Rupenyan, Mohammad Khosravi, John Lygeros
Accurate positioning and fast traversal times determine the productivity in machining applications. This paper demonstrates a hierarchical contour control implementation for the in…
Plasma Spray Process Parameters Configuration using Sample-efficient Batch Bayesian Optimization
Xavier Guidetti, Alisa Rupenyan, Lutz Fassl +2
Recent work has shown constrained Bayesian optimization to be a powerful technique for the optimization of industrial processes. In complex manufacturing processes, the possibility…