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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.
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| 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.
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| 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.
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| 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.
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| 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.
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| 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.
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| 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.
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| 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.
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| 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.
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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.
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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.
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| 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.
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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.
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| 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.
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| 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.
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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.
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| 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.
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| 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.
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| 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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2018 | Journal Article | LibreCat-ID: 42214
P. K. Mishra, D. Chatterjee, and D. E. Quevedo, “Sparse and constrained stochastic predictive control for networked systems,” Automatica, vol. 87, no. 1, pp. 40–51, 2018.
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2018 | Journal Article | LibreCat-ID: 42216
A. M. L\’opez, D. E. Quevedo, R. P. Aguilera, T. Geyer, and N. Oikonomou, “Limitations and Accuracy of a Continuous Reduced-Order Model for Modular Multilevel Converters,” Trans. Power Electron., vol. 33, no. 7, pp. 6292–6303, 2018.
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2018 | Journal Article | LibreCat-ID: 42219
B. Demirel, E. Ghadimi, D. E. Quevedo, and M. Johansson, “Optimal control of linear systems with limited control actions: threshold-based event-triggered control,” Trans. Contr. Network Syst., vol. 5, no. 3, pp. 1275–1286, 2018.
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2018 | Journal Article | LibreCat-ID: 42218
B. Demirel, A. Ramaswamy, D. E. Quevedo, and H. Karl, “DeepCAS: A Deep Reinforcement Learning Algorithm for Control-Aware Scheduling,” IEEE Contr. Syst. Lett., vol. 2, no. 4, pp. 737–742, 2018.
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2018 | Journal Article | LibreCat-ID: 42217
A. Leong, S. Dey, and D. E. Quevedo, “Transmission scheduling for remote state estimation and control with an energy harvesting sensor,” Automatica, vol. 91, no. 5, pp. 54–60, 2018.
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2018 | Journal Article | LibreCat-ID: 42215
S. Liu, L. Xie, and D. E. Quevedo, “Event-Triggered Quantized Communication-Based Distributed Convex Optimization,” Trans. Contr. Network Syst., vol. 5, no. 1, pp. 167–178, 2018.
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2017 | Journal Article | LibreCat-ID: 42212
Y. Li, D. E. Quevedo, S. Dey, and L. Shi, “SINR-Based DoS Attack on Remote State Estimation: A Game-Theoretic Approach,” Trans. Contr. Network Syst., vol. 4, no. 3, pp. 632–642, 2017.
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2017 | Journal Article | LibreCat-ID: 42213
N. Cardoso de Castro, D. E. Quevedo, F. Garin, and C. Canudas-de-Wit, “Energy-Aware Radio Chip Management for Wireless Control,” Trans. Contr. Syst. Technol., vol. 25, no. 6, pp. 2121–2134, 2017.
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2017 | Journal Article | LibreCat-ID: 42208
D. Dolz, D. E. Quevedo, I. Peñarocha, A. Leong, and R. Sanchis, “Co-design of jump estimators and transmission policies for wireless multi-hop networks with fading channels,” Automatica, vol. 81, no. 7, pp. 68–74, 2017.
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2017 | Journal Article | LibreCat-ID: 42206
Y. Li, F. Zhang, D. E. Quevedo, V. Lau, S. Dey, and L. Shi, “Power Control of an Energy Harvesting Sensor for Remote State Estimation,” Trans. Automat. Contr., vol. 62, no. 1, pp. 277–290, 2017.
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2017 | Journal Article | LibreCat-ID: 42207
K. Ding, Y. Li, D. E. Quevedo, S. Dey, and L. Shi, “A multi-channel transmission schedule for remote state estimation under DoS attacks,” Automatica, vol. 78, no. 4, pp. 194–201, 2017.
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2017 | Journal Article | LibreCat-ID: 42210
P. K. Mishra, D. Chatterjee, and D. E. Quevedo, “Output Feedback Stable Stochastic Predictive Control With Hard Control Constraints,” IEEE Control Syst. Lett., vol. 1, no. 2, pp. 382–387, 2017.
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2017 | Journal Article | LibreCat-ID: 42209
K. Ding, S. Dey, D. E. Quevedo, and L. Shi, “Stochastic Game in Remote Estimation Under DoS Attacks,” IEEE Control Syst. Lett., vol. 1, no. 1, pp. 146–151, 2017.
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2017 | Journal Article | LibreCat-ID: 42211
P. K. Mishra, D. Chatterjee, and D. E. Quevedo, “Resource efficient stochastic predictive control under packet dropouts,” ietcontrol, vol. 11, no. 11, pp. 1666–1673, 2017.
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2016 | Journal Article | LibreCat-ID: 42166
E. G. W. Peters, D. E. Quevedo, and J. stergaard, “Shaped Gaussian Dictionaries for Quantized Networked Control Systems with Correlated Dropouts,” Trans. Signal Processing, vol. 64, no. 1, pp. 203–213, 2016.
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2016 | Journal Article | LibreCat-ID: 42168
M. Nagahara, D. E. Quevedo, and D. Nešić, “Maximum Hands-Off Control: A Paradigm of Control Effort Minimization,” Trans. Automat. Contr., vol. 61, no. 3, pp. 735–747, 2016.
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2016 | Journal Article | LibreCat-ID: 42169
J. stergaard and D. E. Quevedo, “Multiple Descriptions for Packetized Predictive Control,” EURASIP J. Adv. Signal Processing, 2016.
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2016 | Journal Article | LibreCat-ID: 42175
E. G. W. Peters, D. E. Quevedo, and M. Fu, “Controller and scheduler codesign for feedback control over IEEE 802.15.4 networks,” Trans. Contr. Syst. Technol., vol. 24, no. 6, pp. 2016–2030, 2016.
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2016 | Journal Article | LibreCat-ID: 42173
M. Nagahara, J. stergaard, and D. E. Quevedo, “Discrete-time hands-off control by sparse optimization,” EURASIP J. Adv. Signal Processing, vol. 76, no. 1, pp. 1–8, 2016.
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2016 | Journal Article | LibreCat-ID: 42174
M. Lješnjanin, D. Nešić, and D. E. Quevedo, “Robust stability of a class of Networked Control Systems,” Automatica, vol. 73, no. 6, pp. 117–124, 2016.
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2016 | Journal Article | LibreCat-ID: 42170
A. S. Leong and D. E. Quevedo, “Kalman Filtering With Relays Over Wireless Fading Channels,” Trans. Automat. Contr., vol. 61, no. 6, pp. 1643–1648, 2016.
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2016 | Journal Article | LibreCat-ID: 42171
D. Chatterjee, M. Nagahara, D. E. Quevedo, and K. S. M. Rao, “Characterization of maximum hands-off control,” Syst. & Contr. Lett., vol. 94, pp. 31–36, 2016.
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2016 | Journal Article | LibreCat-ID: 42205
A. S. Leong, D. E. Quevedo, A. Ahlén, and K. H. Johansson, “On Network Topology Reconfiguration for Remote State Estimation,” Trans. Automat. Contr., vol. 61, no. 12, pp. 3842–3856, 2016.
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2015 | Journal Article | LibreCat-ID: 42080
E. Henriksson, D. E. Quevedo, E. G. W. Peters, H. Sandberg, and K. H. Johansson, “Multiple Loop Self-Triggered Model Predictive Control for Network Scheduling and Control,” CDC, vol. 23, no. 6, pp. 2167–2181, 2015.
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2015 | Conference Paper | LibreCat-ID: 42082
M. Lješnjanin, D. Nešić, and D. E. Quevedo, “Uniform Global Asymptotic Stability of Networked Control Systems Affected with Packet Dropouts and Scheduling Issues,” 2015.
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2015 | Conference Paper | LibreCat-ID: 42084
Y. Li, D. E. Quevedo, S. Dey, and L. Shi, “Fake-Acknowledgment Attack on ACK-Based Sensor Power Schedule for Remote State Estimation,” 2015.
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2015 | Conference Paper | LibreCat-ID: 42081
E. G. W. Peters, D. E. Quevedo, and M. Fu, “Co-design for Control and Scheduling over Wireless Industrial Control Networks,” 2015.
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2015 | Conference Paper | LibreCat-ID: 42083
K. Q. Huang, T. V. Dang, K. V. Ling, and D. E. Quevedo, “Event-triggered Anytime Control with Two Controllers,” 2015.
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2015 | Journal Article | LibreCat-ID: 42079
Y. Li, L. Shi, P. Cheng, J. Chen, and D. E. Quevedo, “Jamming Attacks on Remote State Estimation in Cyber-Physical Systems: A Game-Theoretic Approach,” TAC, vol. 60, no. 10, pp. 2831–2836, 2015.
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2015 | Journal Article | LibreCat-ID: 42078
S. Knorn, S. Dey, A. Ahlén, and D. E. Quevedo, “Distortion Minimization in Multi-Sensor Estimation Using Energy Harvesting and Energy Sharing,” TSP, vol. 63, no. 11, pp. 2848–2863, 2015.
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2015 | Journal Article | LibreCat-ID: 42077
J. Wu, Y. Li, D. E. Quevedo, V. Lau, and L. Shi, “Data-driven power control for state estimation: A Bayesian inference approach,” AUTO, vol. 54, no. 4, pp. 332–339, 2015.
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