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51 Publications
2024 | Conference Paper | LibreCat-ID: 53643
A. Amer, M. Mehndiratta, J. le Fevre Sejersen, H. X. Pham, and E. Kayacan, “Visual Tracking Nonlinear Model Predictive Control Method for Autonomous Wind Turbine Inspection,” 2024, doi: 10.1109/icar58858.2023.10406329.
LibreCat
| DOI
2024 | Conference Paper | LibreCat-ID: 53796
A. Amer, O. Álvarez-Tuñón, H. İ. Uğurlu, J. Le Fevre Sejersen, Y. Brodskiy, and E. Kayacan, “UNav-Sim: A Visually Realistic Underwater Robotics Simulator and Synthetic Data-Generation Framework,” 2024, doi: 10.1109/icar58858.2023.10406819.
LibreCat
| DOI
2023 | Journal Article | LibreCat-ID: 53962
O. Álvarez-Tuñón, Y. Brodskiy, and E. Kayacan, “Monocular visual simultaneous localization and mapping: (r)evolution from geometry to deep learning-based pipelines,” IEEE Transactions on Artificial Intelligence, pp. 1–21, 2023, doi: 10.1109/tai.2023.3321032.
LibreCat
| DOI
2023 | Conference Paper | LibreCat-ID: 53961
O. Álvarez-Tuñón et al., “MIMIR-UW: A Multipurpose Synthetic Dataset for Underwater Navigation and Inspection,” 2023, doi: 10.1109/iros55552.2023.10341436.
LibreCat
| DOI
2023 | Conference Paper | LibreCat-ID: 53963
M. Heiß, J. G. Hansen, D. Li, M. Kozłowski, and E. Kayacan, “PredictiveSLAM - Robust Visual SLAM Through Trajectory-Aware Object Masking,” 2023, doi: 10.1109/icuas57906.2023.10155806.
LibreCat
| DOI
2023 | Conference Paper | LibreCat-ID: 53960
J. le Fevre Sejersen and E. Kayacan, “CAMETA: Conflict-Aware Multi-Agent Estimated Time of Arrival Prediction for Mobile Robots,” 2023, doi: 10.1109/iros55552.2023.10341937.
LibreCat
| DOI
2022 | Journal Article | LibreCat-ID: 35586
M. Protte, R. Fahr, and D. E. Quevedo, “Behavioral Economics for Human-in-the-Loop Control Systems Design: Overconfidence and the Hot Hand Fallacy,” IEEE Control Systems, vol. 40, no. 6, pp. 57–76, 2022, doi: 10.1109/mcs.2020.3019723.
LibreCat
| DOI
2021 | Journal Article | LibreCat-ID: 29653
D. Weber, S. Heid, H. Bode, J. Lange, E. Hüllermeier, and O. Wallscheid, “Safe Bayesian Optimization for Data-Driven Power Electronics Control Design in Microgrids: From Simulations to Real-World Experiments,” IEEE Access, vol. 9, pp. 35654–35669, 2021, doi: 10.1109/ACCESS.2021.3062144.
LibreCat
| DOI
2021 | Journal Article | LibreCat-ID: 29664
O. Wallscheid, “Thermal Monitoring of Electric Motors: State-of-the-Art Review and Future Challenges,” IEEE Open Journal of Industry Applications, 2021.
LibreCat
2021 | Journal Article | LibreCat-ID: 29662
M. Schenke and O. Wallscheid, “Improved Exploring Starts by Kernel Density Estimation-Based State-Space Coverage Acceleration in Reinforcement Learning,” arXiv preprint arXiv:2105.08990, 2021.
LibreCat
2021 | Journal Article | LibreCat-ID: 35589
T. Dragicevic et al., “Guest Editorial Model Predictive Control in Energy Conversion Systems,” IEEE Transactions on Energy Conversion, vol. 36, no. 2, pp. 1311–1312, 2021, doi: 10.1109/tec.2021.3076279.
LibreCat
| DOI
2020 | Journal Article | LibreCat-ID: 29649
S. Heid, D. Weber, H. Bode, E. Hüllermeier, and O. Wallscheid, “OMG: A scalable and flexible simulation and testing environment toolbox for intelligent microgrid control,” Journal of Open Source Software, vol. 5, no. 54, p. 2435, 2020.
LibreCat
2020 | Journal Article | LibreCat-ID: 35585
J. Lu, A. S. Leong, and D. E. Quevedo, “Optimal event‐triggered transmission scheduling for privacy‐preserving wireless state estimation,” International Journal of Robust and Nonlinear Control, vol. 30, no. 11, pp. 4205–4224, 2020, doi: 10.1002/rnc.4910.
LibreCat
| DOI
2020 | Conference Paper | LibreCat-ID: 42073
N. Noroozi, R. Jackson, D. E. Quevedo, F. R. Wirth, and R. Findeisen, “On noise-to-state stability of stochastic discrete-time systems via finite-step Lyapunov functions,” 2020, doi: 10.1109/cdc40024.2019.9030178.
LibreCat
| DOI
2020 | Journal Article | LibreCat-ID: 42074
K. Ding, X. Ren, D. E. Quevedo, S. Dey, and L. Shi, “Defensive deception against reactive jamming attacks in remote state estimation,” Automatica, vol. 113, 2020.
LibreCat
2019 | Journal Article | LibreCat-ID: 15741
A. S. Leong, A. Ramaswamy, D. E. Quevedo, H. Karl, and L. Shi, “Deep reinforcement learning for wireless sensor scheduling in cyber–physical systems,” Automatica, 2019.
LibreCat
| Files available
| DOI
2019 | Journal Article | LibreCat-ID: 35583
A. S. Leong, A. Ramaswamy, D. E. Quevedo, H. Karl, and L. Shi, “Deep reinforcement learning for wireless sensor scheduling in cyber–physical systems,” Automatica, vol. 113, Art. no. 108759, 2019, doi: 10.1016/j.automatica.2019.108759.
LibreCat
| DOI
2019 | Journal Article | LibreCat-ID: 35584
K. Ding, X. Ren, D. E. Quevedo, S. Dey, and L. Shi, “Defensive deception against reactive jamming attacks in remote state estimation,” Automatica, vol. 113, Art. no. 108680, 2019, doi: 10.1016/j.automatica.2019.108680.
LibreCat
| DOI
2019 | Journal Article | LibreCat-ID: 42220
Z. Guo, 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, vol. 67, no. 1, pp. 194–207, 2019.
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