Alisa Rupenyan

According to our database, Alisa Rupenyan authored at least 34 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

In-situ Controller Autotuning by Bayesian Optimization for Closed-loop Feedback Control of Laser Powder Bed Fusion Process.

Baris Kavas, Efe C. Balta, Michael R. Tucker, Raamadaas Krishnadas, Alisa Rupenyan, John Lygeros, Markus Bambach

CoRR, 2024

Adaptive Bayesian Optimization for High-Precision Motion Systems.

Christopher König, Raamadaas Krishnadas, Efe C. Balta, Alisa Rupenyan

CoRR, 2024

Guided Bayesian Optimization: Data-Efficient Controller Tuning with Digital Twin.

Mahdi Nobar, Jürg Keller, Alisa Rupenyan, Mohammad Khosravi, John Lygeros

CoRR, 2024

Force Controlled Printing for Material Extrusion Additive Manufacturing.

Xavier Guidetti, Nathan Mingard, Raul Cruz-Oliver, Yannick Nagel, Marvin Rueppel, Alisa Rupenyan, Efe C. Balta, John Lygeros

CoRR, 2024

MPC of Uncertain Nonlinear Systems with Meta-Learning for Fast Adaptation of Neural Predictive Models.

Jiaqi Yan, Ankush Chakrabarty, Alisa Rupenyan, John Lygeros

Proceedings of the 20th IEEE International Conference on Automation Science and Engineering, 2024

2023

Safe Risk-Averse Bayesian Optimization for Controller Tuning.

Christopher König, Miks Ozols, Anastasia Makarova, Efe C. Balta, Andreas Krause, Alisa Rupenyan

IEEE Robotics Autom. Lett., December, 2023

Safety-Aware Cascade Controller Tuning Using Constrained Bayesian Optimization.

Mohammad Khosravi, Christopher König, Markus Maier, Roy S. Smith, John Lygeros, Alisa Rupenyan

IEEE Trans. Ind. Electron., 2023

Tuning of Online Feedback Optimization for setpoint tracking in centrifugal compressors.

Marta A. Zagorowska, Lukas Ortmann, Alisa Rupenyan, Mehmet Mercangöz, Lars Imsland

CoRR, 2023

Layer-to-Layer Melt Pool Control in Laser Power Bed Fusion.

Dominic Liao-McPherson, Efe C. Balta, Mohamadreza Afrasiabi, Alisa Rupenyan, Markus Bambach, John Lygeros

CoRR, 2023

Efficient safe learning for controller tuning with experimental validation.

Marta A. Zagorowska, Christopher König, Hanlin Yu, Efe C. Balta, Alisa Rupenyan, John Lygeros

CoRR, 2023

Stress Flow Guided Non-Planar Print Trajectory Optimization for Additive Manufacturing of Anisotropic Polymers.

Xavier Guidetti, Efe C. Balta, Yannick Nagel, Hang Yin, Alisa Rupenyan, John Lygeros

CoRR, 2023

Sequential Quadratic Programming-based Iterative Learning Control for Nonlinear Systems.

Samuel Balula, Efe C. Balta, Dominic Liao-McPherson, Alisa Rupenyan, John Lygeros

Proceedings of the IEEE Conference on Control Technology and Applications, 2023

2022

Performance-Driven Cascade Controller Tuning With Bayesian Optimization.

Mohammad Khosravi, Varsha Behrunani, Piotr Myszkorowski, Roy S. Smith, Alisa Rupenyan, John Lygeros

IEEE Trans. Ind. Electron., 2022

Advanced Manufacturing Configuration by Sample-Efficient Batch Bayesian Optimization.

Xavier Guidetti, Alisa Rupenyan, Lutz Fassl, Majid Nabavi, John Lygeros

IEEE Robotics Autom. Lett., 2022

On Robustness in Optimization-Based Constrained Iterative Learning Control.

Dominic Liao-McPherson, Efe C. Balta, Alisa Rupenyan, John Lygeros

IEEE Control. Syst. Lett., 2022

Drone-based Volume Estimation in Indoor Environments.

Samuel Balula, Dominic Liao-McPherson, Stefan Stevsic, Alisa Rupenyan, John Lygeros

CoRR, 2022

Data-Driven Process Optimization of Fused Filament Fabrication based on In Situ Measurements.

Xavier Guidetti, Marino Kühne, Yannick Nagel, Efe C. Balta, Alisa Rupenyan, John Lygeros

CoRR, 2022

Data-driven Reference Trajectory Optimization for Precision Motion Systems.

Samuel Balula, Dominic Liao-McPherson, Alisa Rupenyan, John Lygeros

CoRR, 2022

Information-Operation Technology Integration in Industrial Cyberphysical Systems.

Mohammad H. Mamduhi, Efe C. Balta, Alisa Rupenyan, John Lygeros

Computer, 2022

Controller-Aware Dynamic Network Management for Industry 4.0.

Efe C. Balta, Mohammad H. Mamduhi, John Lygeros, Alisa Rupenyan

Proceedings of the IECON 2022, 2022

Batch Model Predictive Control for Selective Laser Melting.

Riccardo Zuliani, Efe C. Balta, Alisa Rupenyan, John Lygeros

Proceedings of the European Control Conference, 2022

In-layer Thermal Control of a Multi-layer Selective Laser Melting Process.

Dominic Liao-McPherson, Efe C. Balta, Ryan Wüest, Alisa Rupenyan, John Lygeros

Proceedings of the European Control Conference, 2022

Meta-Learning Priors for Safe Bayesian Optimization.

Jonas Rothfuss, Christopher König, Alisa Rupenyan, Andreas Krause

Proceedings of the Conference on Robot Learning, 2022

2021

Sample-efficient Plasma Spray Process Configuration with Constrained Bayesian Optimization.

Xavier Guidetti, Alisa Rupenyan, Lutz Fassl, Majid Nabavi, John Lygeros

CoRR, 2021

Safe and Efficient Model-free Adaptive Control via Bayesian Optimization.

Christopher König, Matteo Turchetta, John Lygeros, Alisa Rupenyan, Andreas Krause

Proceedings of the IEEE International Conference on Robotics and Automation, 2021

Learning from Simulation, Racing in Reality.

Eugenio Chisari, Alexander Liniger, Alisa Rupenyan, Luc Van Gool, John Lygeros

Proceedings of the IEEE International Conference on Robotics and Automation, 2021

Performance-based Trajectory Optimization for Path Following Control Using Bayesian Optimization.

Alisa Rupenyan, Mohammad Khosravi, John Lygeros

Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

Learning-Based Repetitive Precision Motion Control with Mismatch Compensation.

Efe C. Balta, Kira Barton, Dawn M. Tilbury, Alisa Rupenyan, John Lygeros

Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

Plasma Spray Process Parameters Configuration using Sample-efficient Batch Bayesian Optimization.

Xavier Guidetti, Alisa Rupenyan, Lutz Fassl, Majid Nabavi, John Lygeros

Proceedings of the 17th IEEE International Conference on Automation Science and Engineering, 2021

2020

Self-Optimizing Grinding Machines using Gaussian Process Models and Constrained Bayesian Optimization.

Markus Maier, Alisa Rupenyan, Christian Bobst, Konrad Wegener

CoRR, 2020

Cascade Control: Data-Driven Tuning Approach Based on Bayesian Optimization.

Mohammad Khosravi, Varsha Behrunani, Roy S. Smith, Alisa Rupenyan, John Lygeros

CoRR, 2020

Optimization-Based Hierarchical Motion Planning for Autonomous Racing.

José L. Vázquez, Marius Brühlmeier, Alexander Liniger, Alisa Rupenyan, John Lygeros

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

Reference design for closed loop system optimization.

Samuel Balula, Alexander Liniger, Alisa Rupenyan, John Lygeros

Proceedings of the 18th European Control Conference, 2020

2019

Real-Time Predictive Control for Precision Machining.

Alexander Liniger, Luca Varano, Alisa Rupenyan, John Lygeros

Proceedings of the 58th IEEE Conference on Decision and Control, 2019