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2020 – today
- 2024
[i32]Xavier Guidetti, Nathan Mingard, Raul Cruz-Oliver, Yannick Nagel, Marvin Rueppel, Alisa Rupenyan
, Efe C. Balta, John Lygeros:
Force Controlled Printing for Material Extrusion Additive Manufacturing. CoRR abs/2403.16042 (2024)- [i31]Mahdi Nobar, Jürg Keller, Alisa Rupenyan, Mohammad Khosravi, John Lygeros:
Guided Bayesian Optimization: Data-Efficient Controller Tuning with Digital Twin. CoRR abs/2403.16619 (2024) - [i30]Jiaqi Yan, Ankush Chakrabarty, Alisa Rupenyan, John Lygeros:
MPC of Uncertain Nonlinear Systems with Meta-Learning for Fast Adaptation of Neural Predictive Models. CoRR abs/2404.12097 (2024) - [i29]Christopher König, Raamadaas Krishnadas, Efe C. Balta, Alisa Rupenyan:
Adaptive Bayesian Optimization for High-Precision Motion Systems. CoRR abs/2404.14602 (2024) - [i28]Baris Kavas, Efe C. Balta, Michael R. Tucker, Raamadaas Krishnadas, Alisa Rupenyan, John Lygeros, Markus Bambach:
In-situ Controller Autotuning by Bayesian Optimization for Closed-loop Feedback Control of Laser Powder Bed Fusion Process. CoRR abs/2406.19096 (2024) - 2023
- [j6]Christopher König, Miks Ozols, Anastasia Makarova, Efe C. Balta, Andreas Krause, Alisa Rupenyan:
Safe Risk-Averse Bayesian Optimization for Controller Tuning. IEEE Robotics Autom. Lett. 8(12): 8208-8215 (2023) - [j5]Mohammad Khosravi, Christopher König, Markus Maier, Roy S. Smith, John Lygeros, Alisa Rupenyan:
Safety-Aware Cascade Controller Tuning Using Constrained Bayesian Optimization. IEEE Trans. Ind. Electron. 70(2): 2128-2138 (2023) - [c13]Samuel Balula, Efe C. Balta, Dominic Liao-McPherson, Alisa Rupenyan, John Lygeros:
Sequential Quadratic Programming-based Iterative Learning Control for Nonlinear Systems. CCTA 2023: 162-167 - [i27]Xavier Guidetti, Efe C. Balta, Yannick Nagel, Hang Yin, Alisa Rupenyan, John Lygeros:
Stress Flow Guided Non-Planar Print Trajectory Optimization for Additive Manufacturing of Anisotropic Polymers. CoRR abs/2301.04999 (2023) - [i26]Christopher König, Miks Ozols, Anastasia Makarova, Efe C. Balta, Andreas Krause, Alisa Rupenyan:
Safe Risk-averse Bayesian Optimization for Controller Tuning. CoRR abs/2306.13479 (2023) - [i25]Samuel Balula, Efe C. Balta, Dominic Liao-McPherson, Alisa Rupenyan, John Lygeros:
Sequential Quadratic Programming-based Iterative Learning Control for Nonlinear Systems. CoRR abs/2307.12802 (2023) - [i24]Marta A. Zagorowska, Christopher König, Hanlin Yu, Efe C. Balta, Alisa Rupenyan, John Lygeros:
Efficient safe learning for controller tuning with experimental validation. CoRR abs/2310.17431 (2023) - [i23]Dominic Liao-McPherson, Efe C. Balta, Mohamadreza Afrasiabi, Alisa Rupenyan, Markus Bambach, John Lygeros:
Layer-to-Layer Melt Pool Control in Laser Power Bed Fusion. CoRR abs/2311.10218 (2023) - [i22]Marta A. Zagorowska, Lukas Ortmann, Alisa Rupenyan, Mehmet Mercangöz, Lars Imsland:
Tuning of Online Feedback Optimization for setpoint tracking in centrifugal compressors. CoRR abs/2312.01996 (2023) - 2022
- [j4]Mohammad H. Mamduhi, Efe C. Balta, Alisa Rupenyan, John Lygeros:
Information-Operation Technology Integration in Industrial Cyberphysical Systems. Computer 55(11): 115-118 (2022) - [j3]Dominic Liao-McPherson, Efe C. Balta, Alisa Rupenyan, John Lygeros:
On Robustness in Optimization-Based Constrained Iterative Learning Control. IEEE Control. Syst. Lett. 6: 2846-2851 (2022) - [j2]Xavier Guidetti, Alisa Rupenyan, Lutz Fassl, Majid Nabavi, John Lygeros:
Advanced Manufacturing Configuration by Sample-Efficient Batch Bayesian Optimization. IEEE Robotics Autom. Lett. 7(4): 11886-11893 (2022) - [j1]Mohammad Khosravi, Varsha Behrunani, Piotr Myszkorowski, Roy S. Smith, Alisa Rupenyan, John Lygeros:
Performance-Driven Cascade Controller Tuning With Bayesian Optimization. IEEE Trans. Ind. Electron. 69(1): 1032-1042 (2022) - [c12]Jonas Rothfuss, Christopher König, Alisa Rupenyan, Andreas Krause:
Meta-Learning Priors for Safe Bayesian Optimization. CoRL 2022: 237-265 - [c11]Riccardo Zuliani, Efe C. Balta, Alisa Rupenyan, John Lygeros:
Batch Model Predictive Control for Selective Laser Melting. ECC 2022: 1560-1565 - [c10]Dominic Liao-McPherson, Efe C. Balta, Ryan Wüest, Alisa Rupenyan, John Lygeros:
In-layer Thermal Control of a Multi-layer Selective Laser Melting Process. ECC 2022: 1678-1683 - [c9]Efe C. Balta, Mohammad H. Mamduhi, John Lygeros, Alisa Rupenyan:
Controller-Aware Dynamic Network Management for Industry 4.0. IECON 2022: 1-6 - [i21]Dominic Liao-McPherson, Efe C. Balta, Alisa Rupenyan, John Lygeros:
On Robustness in Optimization-Based Constrained Iterative Learning Control. CoRR abs/2203.05291 (2022) - [i20]Xavier Guidetti, Alisa Rupenyan, Lutz Fassl, Majid Nabavi, John Lygeros:
Advanced Manufacturing Configuration by Sample-efficient Batch Bayesian Optimization. CoRR abs/2205.11827 (2022) - [i19]Efe C. Balta, Mohammad H. Mamduhi, John Lygeros, Alisa Rupenyan:
Controller-Aware Dynamic Network Management for Industry 4.0. CoRR abs/2205.14449 (2022) - [i18]Samuel Balula, Dominic Liao-McPherson, Alisa Rupenyan, John Lygeros:
Data-driven Reference Trajectory Optimization for Precision Motion Systems. CoRR abs/2205.15694 (2022) - [i17]Jonas Rothfuss, Christopher König, Alisa Rupenyan, Andreas Krause:
Meta-Learning Priors for Safe Bayesian Optimization. CoRR abs/2210.00762 (2022) - [i16]Xavier Guidetti, Marino Kühne, Yannick Nagel, Efe C. Balta, Alisa Rupenyan, John Lygeros:
Data-Driven Process Optimization of Fused Filament Fabrication based on In Situ Measurements. CoRR abs/2210.15239 (2022) - [i15]Samuel Balula, Dominic Liao-McPherson, Stefan Stevsic, Alisa Rupenyan, John Lygeros:
Drone-based Volume Estimation in Indoor Environments. CoRR abs/2211.08013 (2022) - 2021
- [c8]Xavier Guidetti, Alisa Rupenyan, Lutz Fassl, Majid Nabavi, John Lygeros:
Plasma Spray Process Parameters Configuration using Sample-efficient Batch Bayesian Optimization. CASE 2021: 31-38 - [c7]Alisa Rupenyan, Mohammad Khosravi, John Lygeros:
Performance-based Trajectory Optimization for Path Following Control Using Bayesian Optimization. CDC 2021: 2116-2121 - [c6]Efe C. Balta, Kira Barton, Dawn M. Tilbury, Alisa Rupenyan, John Lygeros:
Learning-Based Repetitive Precision Motion Control with Mismatch Compensation. CDC 2021: 3605-3610 - [c5]Eugenio Chisari, Alexander Liniger, Alisa Rupenyan, Luc Van Gool, John Lygeros:
Learning from Simulation, Racing in Reality. ICRA 2021: 8046-8052 - [c4]Christopher König, Matteo Turchetta, John Lygeros, Alisa Rupenyan, Andreas Krause:
Safe and Efficient Model-free Adaptive Control via Bayesian Optimization. ICRA 2021: 9782-9788 - [i14]Christopher König, Matteo Turchetta, John Lygeros, Alisa Rupenyan, Andreas Krause:
Safe and Efficient Model-free Adaptive Control via Bayesian Optimization. CoRR abs/2101.07825 (2021) - [i13]Xavier Guidetti, Alisa Rupenyan, Lutz Fassl, Majid Nabavi, John Lygeros:
Sample-efficient Plasma Spray Process Configuration with Constrained Bayesian Optimization. CoRR abs/2103.13881 (2021) - [i12]Alisa Rupenyan, Mohammad Khosravi, John Lygeros:
Performance-based Trajectory Optimization for Path Following Control Using Bayesian Optimization. CoRR abs/2103.15416 (2021) - [i11]Dominic Liao-McPherson, Efe C. Balta, Ryan Wüest, Alisa Rupenyan, John Lygeros:
In-layer Thermal Control of a Multi-layer Selective Laser Melting Process. CoRR abs/2111.00890 (2021) - [i10]Riccardo Zuliani, Efe C. Balta, Alisa Rupenyan, John Lygeros:
Batch Model Predictive Control for Selective Laser Melting. CoRR abs/2111.08363 (2021) - [i9]Efe C. Balta, Kira Barton, Dawn M. Tilbury, Alisa Rupenyan, John Lygeros:
Learning-Based Repetitive Precision Motion Control with Mismatch Compensation. CoRR abs/2111.10246 (2021) - 2020
- [c3]Samuel Balula, Alexander Liniger, Alisa Rupenyan, John Lygeros:
Reference design for closed loop system optimization. ECC 2020: 650-655 - [c2]José L. Vázquez, Marius Brühlmeier, Alexander Liniger, Alisa Rupenyan, John Lygeros:
Optimization-Based Hierarchical Motion Planning for Autonomous Racing. IROS 2020: 2397-2403 - [i8]Samuel Balula, Alexander Liniger, Alisa Rupenyan, John Lygeros:
Reference design for closed loop system optimization. CoRR abs/2003.01429 (2020) - [i7]José L. Vázquez, Marius Brühlmeier, Alexander Liniger, Alisa Rupenyan, John Lygeros:
Optimization-Based Hierarchical Motion Planning for Autonomous Racing. CoRR abs/2003.04882 (2020) - [i6]Mohammad Khosravi, Varsha Behrunani, Roy S. Smith, Alisa Rupenyan, John Lygeros:
Cascade Control: Data-Driven Tuning Approach Based on Bayesian Optimization. CoRR abs/2005.03970 (2020) - [i5]Markus Maier, Alisa Rupenyan, Christian Bobst, Konrad Wegener:
Self-Optimizing Grinding Machines using Gaussian Process Models and Constrained Bayesian Optimization. CoRR abs/2006.05360 (2020) - [i4]Mohammad Khosravi, Varsha Behrunani, Piotr Myszkorowski, Roy S. Smith, Alisa Rupenyan, John Lygeros:
Performance-Driven Cascade Controller Tuning with Bayesian Optimization. CoRR abs/2007.12536 (2020) - [i3]Christopher König, Mohammad Khosravi, Markus Maier, Roy S. Smith, Alisa Rupenyan, John Lygeros:
Safety-Aware Cascade Controller Tuning Using Constrained Bayesian Optimization. CoRR abs/2010.15211 (2020) - [i2]Eugenio Chisari, Alexander Liniger, Alisa Rupenyan, Luc Van Gool, John Lygeros:
Learning from Simulation, Racing in Reality. CoRR abs/2011.13332 (2020)
2010 – 2019
- 2019
- [c1]Alexander Liniger, Luca Varano, Alisa Rupenyan, John Lygeros:
Real-Time Predictive Control for Precision Machining. CDC 2019: 7746-7751 - [i1]Alexander Liniger, Luca Varano, Alisa Rupenyan, John Lygeros:
Real-Time Predictive Control for Precision Machining. CoRR abs/1908.10609 (2019)
Coauthor Index
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last updated on 2024-10-07 21:22 CEST by the dblp team
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