435 citations
- ETH ZurichCH7 papers
- Automatic Control LaboratoryCH3 papers
- Institute of Machine Tools and ManufacturingCH2 papers
- Austrian Economics CenterAT1 paper
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- CentraleSupélecFR1 paper
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- Georgia Tech-CNRS LaboratoryFR1 paper
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5 papers · 1 filter
Closed-Loop Finite-Time Analysis of Suboptimal Online Control
Aren Karapetyan, Efe C. Balta, Andrea Iannelli +1
Suboptimal methods in optimal control arise due to a limited computational budget, unknown system dynamics, or a short prediction window among other reasons. Although these methods…
Online Linear Quadratic Tracking with Regret Guarantees
Aren Karapetyan, Diego Bolliger, Anastasios Tsiamis +2
Online learning algorithms for dynamical systems provide finite time guarantees for control in the presence of sequentially revealed cost functions. We pose the classical linear qu…
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…
Performance-Driven Cascade Controller Tuning with Bayesian Optimization
Mohammad Khosravi, Varsha Behrunani, Piotr Myszkorowski +3
We propose a performance-based autotuning method for cascade control systems, where the parameters of a linear axis drive motion controller from two control loops are tuned jointly…
Self-Optimizing Grinding Machines using Gaussian Process Models and Constrained Bayesian Optimization
Markus Maier, Alisa Rupenyan, Christian Bobst +1
In this study, self-optimization of a grinding machine is demonstrated with respect to production costs, while fulfilling quality and safety constraints. The quality requirements o…