Amer, Abdelhakim, Mohit Mehndiratta, Jonas le Fevre Sejersen, Huy Xuan Pham, and Erdal Kayacan. “Visual Tracking Nonlinear Model Predictive Control Method for Autonomous Wind Turbine Inspection.”https://doi.org/10.1109/icar58858.2023.10406329__In 2023 21st International Conference on Advanced Robotics (ICAR). IEEE, 2024.https://doi.org/10.1109/icar58858.2023.10406329 .
LibreCat: /record/53643
DOI: 10.1109/icar58858.2023.10406329

Amer, Abdelhakim, Olaya Álvarez-Tuñón, Halil brahim Ufurlu, Jonas Le Fevre Sejersen, Yury Brodskiy, and Erdal Kayacan. “UNav-Sim: A Visually Realistic Underwater Robotics Simulator and Synthetic Data-Generation Framework.”https://doi.org/10.1109/icar58858.2023.10406819__In 2023 21st International Conference on Advanced Robotics (ICAR). IEEE, 2024.https://doi.org/10.1109/icar58858.2023.10406819 .
LibreCat: /record/53796
DOI: 10.1109/icar58858.2023.10406819

Álvarez-Tuñón, Olaya, Yury Brodskiy, and Erdal Kayacan. “Monocular Visual Simultaneous Localization and Mapping: (R)Evolution from Geometry to Deep Learning-Based Pipelines.”https://doi.org/10.1109/tai.2023.3321032__IEEE Transactions on Artificial Intelligence, 2023, 1–21.https://doi.org/10.1109/tai.2023.3321032 .
LibreCat: /record/53962
DOI: 10.1109/tai.2023.3321032

Álvarez-Tuñón, Olaya, Hemanth Kanner, Luiza Ribeiro Marnet, Huy Xuan Pham, Jonas le Fevre Sejersen, Yury Brodskiy, and Erdal Kayacan. “MIMIR-UW: A Multipurpose Synthetic Dataset for Underwater Navigation and Inspection.”https://doi.org/10.1109/iros55552.2023.10341436__In 2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). IEEE, 2023.https://doi.org/10.1109/iros55552.2023.10341436 .
LibreCat: /record/53961
DOI: 10.1109/iros55552.2023.10341436

Heiß, Micha, Jakob Grimm Hansen, Dengyun Li, Micha Kozowski, and Erdal Kayacan. “PredictiveSLAM - Robust Visual SLAM Through Trajectory-Aware Object Masking.”https://doi.org/10.1109/icuas57906.2023.10155806__In 2023 International Conference on Unmanned Aircraft Systems (ICUAS). IEEE, 2023.https://doi.org/10.1109/icuas57906.2023.10155806 .
LibreCat: /record/53963
DOI: 10.1109/icuas57906.2023.10155806

Fevre Sejersen, Jonas le, and Erdal Kayacan. “CAMETA: Conflict-Aware Multi-Agent Estimated Time of Arrival Prediction for Mobile Robots.”https://doi.org/10.1109/iros55552.2023.10341937__In 2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). IEEE, 2023.https://doi.org/10.1109/iros55552.2023.10341937 .
LibreCat: /record/53960
DOI: 10.1109/iros55552.2023.10341937

Protte, Marius, Rene Fahr, and Daniel E. Quevedo. “Behavioral Economics for Human-in-the-Loop Control Systems Design: Overconfidence and the Hot Hand Fallacy.”https://doi.org/10.1109/mcs.2020.3019723__IEEE Control Systems 40, no. 6 (2022): 57–76.https://doi.org/10.1109/mcs.2020.3019723 .
LibreCat: /record/35586
DOI: 10.1109/mcs.2020.3019723

Weber, Daniel, Stefan Heid, Henrik Bode, Jarren Lange, Eyke Hüllermeier, and Oliver Wallscheid. “Safe Bayesian Optimization for Data-Driven Power Electronics Control Design in Microgrids: From Simulations to Real-World Experiments.”https://doi.org/10.1109/ACCESS.2021.3062144__IEEE Access 9 (2021): 35654–35669.https://doi.org/10.1109/ACCESS.2021.3062144 .
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DOI: 10.1109/ACCESS.2021.3062144

Wallscheid, Oliver. “Thermal Monitoring of Electric Motors: State-of-the-Art Review and Future Challenges.” IEEE Open Journal of Industry Applications, 2021.
LibreCat: /record/29664

Schenke, Maximilian, and Oliver Wallscheid. “Improved Exploring Starts by Kernel Density Estimation-Based State-Space Coverage Acceleration in Reinforcement Learning.” ArXiv Preprint ArXiv:2105.08990, 2021.
LibreCat: /record/29662

Dragicevic, Tomislav, Alessandra Parisio, Jose Rodriguez, Colin Jones, Daniel Quevedo, Luca Ferrarini, Matthias Preindl, Qobad Shafiee, and Thomas Morstyn. “Guest Editorial Model Predictive Control in Energy Conversion Systems.”https://doi.org/10.1109/tec.2021.3076279__IEEE Transactions on Energy Conversion 36, no. 2 (2021): 1311–12.https://doi.org/10.1109/tec.2021.3076279 .
LibreCat: /record/35589
DOI: 10.1109/tec.2021.3076279

Lu, Jingyi, and Daniel E. Quevedo. “A Jointly Optimal Design of Control and Scheduling in Networked Systems  under Denial-of-Service Attacks.” ArXiv:2103.05893, 2021.
LibreCat: /record/35588
arXiv: 2103.05893

Heid, Stefan, Daniel Weber, Henrik Bode, Eyke Hüllermeier, and Oliver Wallscheid. “OMG: A Scalable and Flexible Simulation and Testing Environment Toolbox for Intelligent Microgrid Control.” Journal of Open Source Software 5, no. 54 (2020): 2435.
LibreCat: /record/29649

Lu, Jingyi, Alex S. Leong, and Daniel E. Quevedo. “Optimal Eventtriggered Transmission Scheduling for Privacypreserving Wireless State Estimation.”https://doi.org/10.1002/rnc.4910__International Journal of Robust and Nonlinear Control 30, no. 11 (2020): 4205–24.https://doi.org/10.1002/rnc.4910 .
LibreCat: /record/35585
DOI: 10.1002/rnc.4910

Noroozi, Navid, Roxanne Jackson, Daniel E. Quevedo, Fabian R. Wirth, and Rolf Findeisen. “On Noise-to-State Stability of Stochastic Discrete-Time Systems via Finite-Step Lyapunov Functions.”https://doi.org/10.1109/cdc40024.2019.9030178__In 2019 IEEE 58th Conference on Decision and Control (CDC). IEEE, 2020.https://doi.org/10.1109/cdc40024.2019.9030178 .
LibreCat: /record/42073
DOI: 10.1109/cdc40024.2019.9030178

Ding, K., X. Ren, D. E. Quevedo, S. Dey, and L. Shi. “Defensive Deception against Reactive Jamming Attacks in Remote State Estimation.” Automatica 113 (2020).
LibreCat: /record/42074

Leong, Alex S., Arunselvan Ramaswamy, Daniel E. Quevedo, Holger Karl, and Ling Shi. “Deep Reinforcement Learning for Wireless Sensor Scheduling in Cyber–Physical Systems.”https://doi.org/10.1016/j.automatica.2019.108759__Automatica, 2019.https://doi.org/10.1016/j.automatica.2019.108759 .
LibreCat: /record/15741
DOI: 10.1016/j.automatica.2019.108759

Leong, Alex S., Arunselvan Ramaswamy, Daniel E. Quevedo, Holger Karl, and Ling Shi. “Deep Reinforcement Learning for Wireless Sensor Scheduling in Cyber–Physical Systems.”https://doi.org/10.1016/j.automatica.2019.108759__Automatica 113 (2019).https://doi.org/10.1016/j.automatica.2019.108759 .
LibreCat: /record/35583
DOI: 10.1016/j.automatica.2019.108759

Ding, Kemi, Xiaoqiang Ren, Daniel E. Quevedo, Subhrakanti Dey, and Ling Shi. “Defensive Deception against Reactive Jamming Attacks in Remote State Estimation.”https://doi.org/10.1016/j.automatica.2019.108680__Automatica 113 (2019).https://doi.org/10.1016/j.automatica.2019.108680 .
LibreCat: /record/35584
DOI: 10.1016/j.automatica.2019.108680

Guo, Z., D. Shi, D. E. Quevedo, and L. Shi. “Secure State Estimation Against Integrity Attacks: A Gaussian Mixture Model Approach Secure State Estimation Against Integrity Attacks: A Gaussian Mixture Model Approach.” Trans. Signal Processing 67, no. 1 (2019): 194–207.
LibreCat: /record/42220