---
_id: '53643'
author:
- first_name: Abdelhakim
full_name: Amer, Abdelhakim
last_name: Amer
- first_name: Mohit
full_name: Mehndiratta, Mohit
last_name: Mehndiratta
- first_name: Jonas
full_name: le Fevre Sejersen, Jonas
last_name: le Fevre Sejersen
- first_name: Huy Xuan
full_name: Pham, Huy Xuan
last_name: Pham
- first_name: Erdal
full_name: Kayacan, Erdal
id: '98838'
last_name: Kayacan
citation:
ama: 'Amer A, Mehndiratta M, le Fevre Sejersen J, Pham HX, Kayacan E. Visual Tracking
Nonlinear Model Predictive Control Method for Autonomous Wind Turbine Inspection.
In: 2023 21st International Conference on Advanced Robotics (ICAR). IEEE;
2024. doi:10.1109/icar58858.2023.10406329'
apa: Amer, A., Mehndiratta, M., le Fevre Sejersen, J., Pham, H. X., & Kayacan,
E. (2024). Visual Tracking Nonlinear Model Predictive Control Method for Autonomous
Wind Turbine Inspection. 2023 21st International Conference on Advanced Robotics
(ICAR). https://doi.org/10.1109/icar58858.2023.10406329
bibtex: '@inproceedings{Amer_Mehndiratta_le Fevre Sejersen_Pham_Kayacan_2024, title={Visual
Tracking Nonlinear Model Predictive Control Method for Autonomous Wind Turbine
Inspection}, DOI={10.1109/icar58858.2023.10406329},
booktitle={2023 21st International Conference on Advanced Robotics (ICAR)}, publisher={IEEE},
author={Amer, Abdelhakim and Mehndiratta, Mohit and le Fevre Sejersen, Jonas and
Pham, Huy Xuan and Kayacan, Erdal}, year={2024} }'
chicago: 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.” In 2023 21st International Conference
on Advanced Robotics (ICAR). IEEE, 2024. https://doi.org/10.1109/icar58858.2023.10406329.
ieee: '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.'
mla: Amer, Abdelhakim, et al. “Visual Tracking Nonlinear Model Predictive Control
Method for Autonomous Wind Turbine Inspection.” 2023 21st International Conference
on Advanced Robotics (ICAR), IEEE, 2024, doi:10.1109/icar58858.2023.10406329.
short: 'A. Amer, M. Mehndiratta, J. le Fevre Sejersen, H.X. Pham, E. Kayacan, in:
2023 21st International Conference on Advanced Robotics (ICAR), IEEE, 2024.'
date_created: 2024-04-25T10:25:39Z
date_updated: 2024-04-29T11:59:00Z
department:
- _id: '57'
doi: 10.1109/icar58858.2023.10406329
language:
- iso: eng
publication: 2023 21st International Conference on Advanced Robotics (ICAR)
publication_status: published
publisher: IEEE
status: public
title: Visual Tracking Nonlinear Model Predictive Control Method for Autonomous Wind
Turbine Inspection
type: conference
user_id: '78813'
year: '2024'
...
---
_id: '53796'
author:
- first_name: Abdelhakim
full_name: Amer, Abdelhakim
last_name: Amer
- first_name: Olaya
full_name: Álvarez-Tuñón, Olaya
last_name: Álvarez-Tuñón
- first_name: Halil İbrahim
full_name: Uğurlu, Halil İbrahim
last_name: Uğurlu
- first_name: Jonas
full_name: Le Fevre Sejersen, Jonas
last_name: Le Fevre Sejersen
- first_name: Yury
full_name: Brodskiy, Yury
last_name: Brodskiy
- first_name: Erdal
full_name: Kayacan, Erdal
id: '98838'
last_name: Kayacan
citation:
ama: 'Amer A, Álvarez-Tuñón O, Uğurlu Hİ, Le Fevre Sejersen J, Brodskiy Y, Kayacan
E. UNav-Sim: A Visually Realistic Underwater Robotics Simulator and Synthetic
Data-Generation Framework. In: 2023 21st International Conference on Advanced
Robotics (ICAR). IEEE; 2024. doi:10.1109/icar58858.2023.10406819'
apa: 'Amer, A., Álvarez-Tuñón, O., Uğurlu, H. İ., Le Fevre Sejersen, J., Brodskiy,
Y., & Kayacan, E. (2024). UNav-Sim: A Visually Realistic Underwater Robotics
Simulator and Synthetic Data-Generation Framework. 2023 21st International
Conference on Advanced Robotics (ICAR). https://doi.org/10.1109/icar58858.2023.10406819'
bibtex: '@inproceedings{Amer_Álvarez-Tuñón_Uğurlu_Le Fevre Sejersen_Brodskiy_Kayacan_2024,
title={UNav-Sim: A Visually Realistic Underwater Robotics Simulator and Synthetic
Data-Generation Framework}, DOI={10.1109/icar58858.2023.10406819},
booktitle={2023 21st International Conference on Advanced Robotics (ICAR)}, publisher={IEEE},
author={Amer, Abdelhakim and Álvarez-Tuñón, Olaya and Uğurlu, Halil İbrahim and
Le Fevre Sejersen, Jonas and Brodskiy, Yury and Kayacan, Erdal}, year={2024} }'
chicago: 'Amer, Abdelhakim, Olaya Álvarez-Tuñón, Halil İbrahim Uğurlu, Jonas Le
Fevre Sejersen, Yury Brodskiy, and Erdal Kayacan. “UNav-Sim: A Visually Realistic
Underwater Robotics Simulator and Synthetic Data-Generation Framework.” In 2023
21st International Conference on Advanced Robotics (ICAR). IEEE, 2024. https://doi.org/10.1109/icar58858.2023.10406819.'
ieee: '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.'
mla: 'Amer, Abdelhakim, et al. “UNav-Sim: A Visually Realistic Underwater Robotics
Simulator and Synthetic Data-Generation Framework.” 2023 21st International
Conference on Advanced Robotics (ICAR), IEEE, 2024, doi:10.1109/icar58858.2023.10406819.'
short: 'A. Amer, O. Álvarez-Tuñón, H.İ. Uğurlu, J. Le Fevre Sejersen, Y. Brodskiy,
E. Kayacan, in: 2023 21st International Conference on Advanced Robotics (ICAR),
IEEE, 2024.'
date_created: 2024-04-30T10:25:20Z
date_updated: 2024-05-06T12:50:16Z
department:
- _id: '57'
doi: 10.1109/icar58858.2023.10406819
language:
- iso: eng
publication: 2023 21st International Conference on Advanced Robotics (ICAR)
publication_status: published
publisher: IEEE
status: public
title: 'UNav-Sim: A Visually Realistic Underwater Robotics Simulator and Synthetic
Data-Generation Framework'
type: conference
user_id: '78813'
year: '2024'
...
---
_id: '53962'
author:
- first_name: Olaya
full_name: Álvarez-Tuñón, Olaya
last_name: Álvarez-Tuñón
- first_name: Yury
full_name: Brodskiy, Yury
last_name: Brodskiy
- first_name: Erdal
full_name: Kayacan, Erdal
id: '98838'
last_name: Kayacan
citation:
ama: 'Álvarez-Tuñón O, Brodskiy Y, Kayacan E. Monocular visual simultaneous localization
and mapping: (r)evolution from geometry to deep learning-based pipelines. IEEE
Transactions on Artificial Intelligence. Published online 2023:1-21. doi:10.1109/tai.2023.3321032'
apa: 'Álvarez-Tuñón, O., Brodskiy, Y., & Kayacan, E. (2023). Monocular visual
simultaneous localization and mapping: (r)evolution from geometry to deep learning-based
pipelines. IEEE Transactions on Artificial Intelligence, 1–21. https://doi.org/10.1109/tai.2023.3321032'
bibtex: '@article{Álvarez-Tuñón_Brodskiy_Kayacan_2023, title={Monocular visual simultaneous
localization and mapping: (r)evolution from geometry to deep learning-based pipelines},
DOI={10.1109/tai.2023.3321032},
journal={IEEE Transactions on Artificial Intelligence}, publisher={Institute of
Electrical and Electronics Engineers (IEEE)}, author={Álvarez-Tuñón, Olaya and
Brodskiy, Yury and Kayacan, Erdal}, year={2023}, pages={1–21} }'
chicago: 'Álvarez-Tuñón, Olaya, Yury Brodskiy, and Erdal Kayacan. “Monocular Visual
Simultaneous Localization and Mapping: (R)Evolution from Geometry to Deep Learning-Based
Pipelines.” IEEE Transactions on Artificial Intelligence, 2023, 1–21. https://doi.org/10.1109/tai.2023.3321032.'
ieee: '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.'
mla: 'Álvarez-Tuñón, Olaya, et al. “Monocular Visual Simultaneous Localization and
Mapping: (R)Evolution from Geometry to Deep Learning-Based Pipelines.” IEEE
Transactions on Artificial Intelligence, Institute of Electrical and Electronics
Engineers (IEEE), 2023, pp. 1–21, doi:10.1109/tai.2023.3321032.'
short: O. Álvarez-Tuñón, Y. Brodskiy, E. Kayacan, IEEE Transactions on Artificial
Intelligence (2023) 1–21.
date_created: 2024-05-06T12:51:28Z
date_updated: 2024-05-06T12:53:26Z
department:
- _id: '57'
doi: 10.1109/tai.2023.3321032
language:
- iso: eng
page: 1-21
publication: IEEE Transactions on Artificial Intelligence
publication_identifier:
issn:
- 2691-4581
publication_status: published
publisher: Institute of Electrical and Electronics Engineers (IEEE)
status: public
title: 'Monocular visual simultaneous localization and mapping: (r)evolution from
geometry to deep learning-based pipelines'
type: journal_article
user_id: '78813'
year: '2023'
...
---
_id: '53961'
author:
- first_name: Olaya
full_name: Álvarez-Tuñón, Olaya
last_name: Álvarez-Tuñón
- first_name: Hemanth
full_name: Kanner, Hemanth
last_name: Kanner
- first_name: Luiza Ribeiro
full_name: Marnet, Luiza Ribeiro
last_name: Marnet
- first_name: Huy Xuan
full_name: Pham, Huy Xuan
last_name: Pham
- first_name: Jonas
full_name: le Fevre Sejersen, Jonas
last_name: le Fevre Sejersen
- first_name: Yury
full_name: Brodskiy, Yury
last_name: Brodskiy
- first_name: Erdal
full_name: Kayacan, Erdal
id: '98838'
last_name: Kayacan
citation:
ama: 'Álvarez-Tuñón O, Kanner H, Marnet LR, et al. MIMIR-UW: A Multipurpose Synthetic
Dataset for Underwater Navigation and Inspection. In: 2023 IEEE/RSJ International
Conference on Intelligent Robots and Systems (IROS). IEEE; 2023. doi:10.1109/iros55552.2023.10341436'
apa: 'Álvarez-Tuñón, O., Kanner, H., Marnet, L. R., Pham, H. X., le Fevre Sejersen,
J., Brodskiy, Y., & Kayacan, E. (2023). MIMIR-UW: A Multipurpose Synthetic
Dataset for Underwater Navigation and Inspection. 2023 IEEE/RSJ International
Conference on Intelligent Robots and Systems (IROS). https://doi.org/10.1109/iros55552.2023.10341436'
bibtex: '@inproceedings{Álvarez-Tuñón_Kanner_Marnet_Pham_le Fevre Sejersen_Brodskiy_Kayacan_2023,
title={MIMIR-UW: A Multipurpose Synthetic Dataset for Underwater Navigation and
Inspection}, DOI={10.1109/iros55552.2023.10341436},
booktitle={2023 IEEE/RSJ International Conference on Intelligent Robots and Systems
(IROS)}, publisher={IEEE}, author={Álvarez-Tuñón, Olaya and Kanner, Hemanth and
Marnet, Luiza Ribeiro and Pham, Huy Xuan and le Fevre Sejersen, Jonas and Brodskiy,
Yury and Kayacan, Erdal}, year={2023} }'
chicago: '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.” In 2023 IEEE/RSJ
International Conference on Intelligent Robots and Systems (IROS). IEEE, 2023.
https://doi.org/10.1109/iros55552.2023.10341436.'
ieee: 'O. Álvarez-Tuñón et al., “MIMIR-UW: A Multipurpose Synthetic Dataset
for Underwater Navigation and Inspection,” 2023, doi: 10.1109/iros55552.2023.10341436.'
mla: 'Álvarez-Tuñón, Olaya, et al. “MIMIR-UW: A Multipurpose Synthetic Dataset for
Underwater Navigation and Inspection.” 2023 IEEE/RSJ International Conference
on Intelligent Robots and Systems (IROS), IEEE, 2023, doi:10.1109/iros55552.2023.10341436.'
short: 'O. Álvarez-Tuñón, H. Kanner, L.R. Marnet, H.X. Pham, J. le Fevre Sejersen,
Y. Brodskiy, E. Kayacan, in: 2023 IEEE/RSJ International Conference on Intelligent
Robots and Systems (IROS), IEEE, 2023.'
date_created: 2024-05-06T12:50:36Z
date_updated: 2024-05-06T12:50:56Z
department:
- _id: '57'
doi: 10.1109/iros55552.2023.10341436
language:
- iso: eng
publication: 2023 IEEE/RSJ International Conference on Intelligent Robots and Systems
(IROS)
publication_status: published
publisher: IEEE
status: public
title: 'MIMIR-UW: A Multipurpose Synthetic Dataset for Underwater Navigation and Inspection'
type: conference
user_id: '78813'
year: '2023'
...
---
_id: '53963'
author:
- first_name: Micha
full_name: Heiß, Micha
last_name: Heiß
- first_name: Jakob Grimm
full_name: Hansen, Jakob Grimm
last_name: Hansen
- first_name: Dengyun
full_name: Li, Dengyun
last_name: Li
- first_name: Michał
full_name: Kozłowski, Michał
last_name: Kozłowski
- first_name: Erdal
full_name: Kayacan, Erdal
id: '98838'
last_name: Kayacan
citation:
ama: 'Heiß M, Hansen JG, Li D, Kozłowski M, Kayacan E. PredictiveSLAM - Robust Visual
SLAM Through Trajectory-Aware Object Masking. In: 2023 International Conference
on Unmanned Aircraft Systems (ICUAS). IEEE; 2023. doi:10.1109/icuas57906.2023.10155806'
apa: Heiß, M., Hansen, J. G., Li, D., Kozłowski, M., & Kayacan, E. (2023). PredictiveSLAM
- Robust Visual SLAM Through Trajectory-Aware Object Masking. 2023 International
Conference on Unmanned Aircraft Systems (ICUAS). https://doi.org/10.1109/icuas57906.2023.10155806
bibtex: '@inproceedings{Heiß_Hansen_Li_Kozłowski_Kayacan_2023, title={PredictiveSLAM
- Robust Visual SLAM Through Trajectory-Aware Object Masking}, DOI={10.1109/icuas57906.2023.10155806},
booktitle={2023 International Conference on Unmanned Aircraft Systems (ICUAS)},
publisher={IEEE}, author={Heiß, Micha and Hansen, Jakob Grimm and Li, Dengyun
and Kozłowski, Michał and Kayacan, Erdal}, year={2023} }'
chicago: Heiß, Micha, Jakob Grimm Hansen, Dengyun Li, Michał Kozłowski, and Erdal
Kayacan. “PredictiveSLAM - Robust Visual SLAM Through Trajectory-Aware Object
Masking.” In 2023 International Conference on Unmanned Aircraft Systems (ICUAS).
IEEE, 2023. https://doi.org/10.1109/icuas57906.2023.10155806.
ieee: '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.'
mla: Heiß, Micha, et al. “PredictiveSLAM - Robust Visual SLAM Through Trajectory-Aware
Object Masking.” 2023 International Conference on Unmanned Aircraft Systems
(ICUAS), IEEE, 2023, doi:10.1109/icuas57906.2023.10155806.
short: 'M. Heiß, J.G. Hansen, D. Li, M. Kozłowski, E. Kayacan, in: 2023 International
Conference on Unmanned Aircraft Systems (ICUAS), IEEE, 2023.'
date_created: 2024-05-06T12:53:07Z
date_updated: 2024-05-06T12:53:22Z
department:
- _id: '57'
doi: 10.1109/icuas57906.2023.10155806
language:
- iso: eng
publication: 2023 International Conference on Unmanned Aircraft Systems (ICUAS)
publication_status: published
publisher: IEEE
status: public
title: PredictiveSLAM - Robust Visual SLAM Through Trajectory-Aware Object Masking
type: conference
user_id: '78813'
year: '2023'
...
---
_id: '53960'
author:
- first_name: Jonas
full_name: le Fevre Sejersen, Jonas
last_name: le Fevre Sejersen
- first_name: Erdal
full_name: Kayacan, Erdal
id: '98838'
last_name: Kayacan
citation:
ama: 'le Fevre Sejersen J, Kayacan E. CAMETA: Conflict-Aware Multi-Agent Estimated
Time of Arrival Prediction for Mobile Robots. In: 2023 IEEE/RSJ International
Conference on Intelligent Robots and Systems (IROS). IEEE; 2023. doi:10.1109/iros55552.2023.10341937'
apa: 'le Fevre Sejersen, J., & Kayacan, E. (2023). CAMETA: Conflict-Aware Multi-Agent
Estimated Time of Arrival Prediction for Mobile Robots. 2023 IEEE/RSJ International
Conference on Intelligent Robots and Systems (IROS). https://doi.org/10.1109/iros55552.2023.10341937'
bibtex: '@inproceedings{le Fevre Sejersen_Kayacan_2023, title={CAMETA: Conflict-Aware
Multi-Agent Estimated Time of Arrival Prediction for Mobile Robots}, DOI={10.1109/iros55552.2023.10341937},
booktitle={2023 IEEE/RSJ International Conference on Intelligent Robots and Systems
(IROS)}, publisher={IEEE}, author={le Fevre Sejersen, Jonas and Kayacan, Erdal},
year={2023} }'
chicago: 'Fevre Sejersen, Jonas le, and Erdal Kayacan. “CAMETA: Conflict-Aware Multi-Agent
Estimated Time of Arrival Prediction for Mobile Robots.” In 2023 IEEE/RSJ International
Conference on Intelligent Robots and Systems (IROS). IEEE, 2023. https://doi.org/10.1109/iros55552.2023.10341937.'
ieee: '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.'
mla: 'le Fevre Sejersen, Jonas, and Erdal Kayacan. “CAMETA: Conflict-Aware Multi-Agent
Estimated Time of Arrival Prediction for Mobile Robots.” 2023 IEEE/RSJ International
Conference on Intelligent Robots and Systems (IROS), IEEE, 2023, doi:10.1109/iros55552.2023.10341937.'
short: 'J. le Fevre Sejersen, E. Kayacan, in: 2023 IEEE/RSJ International Conference
on Intelligent Robots and Systems (IROS), IEEE, 2023.'
date_created: 2024-05-06T12:49:20Z
date_updated: 2024-05-06T12:53:45Z
department:
- _id: '57'
doi: 10.1109/iros55552.2023.10341937
language:
- iso: eng
publication: 2023 IEEE/RSJ International Conference on Intelligent Robots and Systems
(IROS)
publication_status: published
publisher: IEEE
status: public
title: 'CAMETA: Conflict-Aware Multi-Agent Estimated Time of Arrival Prediction for
Mobile Robots'
type: conference
user_id: '78813'
year: '2023'
...
---
_id: '35586'
author:
- first_name: Marius
full_name: Protte, Marius
last_name: Protte
- first_name: Rene
full_name: Fahr, Rene
last_name: Fahr
- first_name: Daniel E.
full_name: Quevedo, Daniel E.
last_name: Quevedo
citation:
ama: 'Protte M, Fahr R, Quevedo DE. Behavioral Economics for Human-in-the-Loop Control
Systems Design: Overconfidence and the Hot Hand Fallacy. IEEE Control Systems.
2022;40(6):57-76. doi:10.1109/mcs.2020.3019723'
apa: 'Protte, M., Fahr, R., & Quevedo, D. E. (2022). Behavioral Economics for
Human-in-the-Loop Control Systems Design: Overconfidence and the Hot Hand Fallacy.
IEEE Control Systems, 40(6), 57–76. https://doi.org/10.1109/mcs.2020.3019723'
bibtex: '@article{Protte_Fahr_Quevedo_2022, title={Behavioral Economics for Human-in-the-Loop
Control Systems Design: Overconfidence and the Hot Hand Fallacy}, volume={40},
DOI={10.1109/mcs.2020.3019723},
number={6}, journal={IEEE Control Systems}, publisher={Institute of Electrical
and Electronics Engineers (IEEE)}, author={Protte, Marius and Fahr, Rene and Quevedo,
Daniel E.}, year={2022}, pages={57–76} }'
chicago: 'Protte, Marius, Rene Fahr, and Daniel E. Quevedo. “Behavioral Economics
for Human-in-the-Loop Control Systems Design: Overconfidence and the Hot Hand
Fallacy.” IEEE Control Systems 40, no. 6 (2022): 57–76. https://doi.org/10.1109/mcs.2020.3019723.'
ieee: '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.'
mla: 'Protte, Marius, et al. “Behavioral Economics for Human-in-the-Loop Control
Systems Design: Overconfidence and the Hot Hand Fallacy.” IEEE Control Systems,
vol. 40, no. 6, Institute of Electrical and Electronics Engineers (IEEE), 2022,
pp. 57–76, doi:10.1109/mcs.2020.3019723.'
short: M. Protte, R. Fahr, D.E. Quevedo, IEEE Control Systems 40 (2022) 57–76.
date_created: 2023-01-09T16:46:46Z
date_updated: 2023-01-09T16:47:00Z
department:
- _id: '57'
doi: 10.1109/mcs.2020.3019723
intvolume: ' 40'
issue: '6'
keyword:
- Electrical and Electronic Engineering
- Modeling and Simulation
- Control and Systems Engineering
- Electrical and Electronic Engineering
- Modeling and Simulation
- Control and Systems Engineering
language:
- iso: eng
page: 57-76
publication: IEEE Control Systems
publication_identifier:
issn:
- 1066-033X
- 1941-000X
publication_status: published
publisher: Institute of Electrical and Electronics Engineers (IEEE)
status: public
title: 'Behavioral Economics for Human-in-the-Loop Control Systems Design: Overconfidence
and the Hot Hand Fallacy'
type: journal_article
user_id: '158'
volume: 40
year: '2022'
...
---
_id: '29653'
author:
- first_name: Daniel
full_name: Weber, Daniel
id: '24041'
last_name: Weber
orcid: 0000-0003-3367-5998
- first_name: Stefan
full_name: Heid, Stefan
id: '39640'
last_name: Heid
orcid: 0000-0002-9461-7372
- first_name: Henrik
full_name: Bode, Henrik
id: '40880'
last_name: Bode
- first_name: Jarren
full_name: Lange, Jarren
id: '78801'
last_name: Lange
- first_name: Eyke
full_name: Hüllermeier, Eyke
last_name: Hüllermeier
- first_name: Oliver
full_name: Wallscheid, Oliver
id: '11291'
last_name: Wallscheid
orcid: https://orcid.org/0000-0001-9362-8777
citation:
ama: 'Weber D, Heid S, Bode H, Lange J, Hüllermeier E, Wallscheid O. Safe Bayesian
Optimization for Data-Driven Power Electronics Control Design in Microgrids: From
Simulations to Real-World Experiments. IEEE Access. 2021;9:35654–35669.
doi:10.1109/ACCESS.2021.3062144'
apa: 'Weber, D., Heid, S., Bode, H., Lange, J., Hüllermeier, E., & Wallscheid,
O. (2021). Safe Bayesian Optimization for Data-Driven Power Electronics Control
Design in Microgrids: From Simulations to Real-World Experiments. IEEE Access,
9, 35654–35669. https://doi.org/10.1109/ACCESS.2021.3062144'
bibtex: '@article{Weber_Heid_Bode_Lange_Hüllermeier_Wallscheid_2021, title={Safe
Bayesian Optimization for Data-Driven Power Electronics Control Design in Microgrids:
From Simulations to Real-World Experiments}, volume={9}, DOI={10.1109/ACCESS.2021.3062144},
journal={IEEE Access}, publisher={IEEE}, author={Weber, Daniel and Heid, Stefan
and Bode, Henrik and Lange, Jarren and Hüllermeier, Eyke and Wallscheid, Oliver},
year={2021}, pages={35654–35669} }'
chicago: '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.” IEEE
Access 9 (2021): 35654–35669. https://doi.org/10.1109/ACCESS.2021.3062144.'
ieee: '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.'
mla: 'Weber, Daniel, et al. “Safe Bayesian Optimization for Data-Driven Power Electronics
Control Design in Microgrids: From Simulations to Real-World Experiments.” IEEE
Access, vol. 9, IEEE, 2021, pp. 35654–35669, doi:10.1109/ACCESS.2021.3062144.'
short: D. Weber, S. Heid, H. Bode, J. Lange, E. Hüllermeier, O. Wallscheid, IEEE
Access 9 (2021) 35654–35669.
date_created: 2022-01-28T14:11:05Z
date_updated: 2022-02-23T08:34:42Z
department:
- _id: '52'
- _id: '57'
doi: 10.1109/ACCESS.2021.3062144
intvolume: ' 9'
language:
- iso: eng
page: 35654–35669
publication: IEEE Access
publisher: IEEE
status: public
title: 'Safe Bayesian Optimization for Data-Driven Power Electronics Control Design
in Microgrids: From Simulations to Real-World Experiments'
type: journal_article
user_id: '66'
volume: 9
year: '2021'
...
---
_id: '29664'
author:
- first_name: Oliver
full_name: Wallscheid, Oliver
id: '11291'
last_name: Wallscheid
orcid: https://orcid.org/0000-0001-9362-8777
citation:
ama: 'Wallscheid O. Thermal Monitoring of Electric Motors: State-of-the-Art Review
and Future Challenges. IEEE Open Journal of Industry Applications. Published
online 2021.'
apa: 'Wallscheid, O. (2021). Thermal Monitoring of Electric Motors: State-of-the-Art
Review and Future Challenges. IEEE Open Journal of Industry Applications.'
bibtex: '@article{Wallscheid_2021, title={Thermal Monitoring of Electric Motors:
State-of-the-Art Review and Future Challenges}, journal={IEEE Open Journal of
Industry Applications}, publisher={IEEE}, author={Wallscheid, Oliver}, year={2021}
}'
chicago: 'Wallscheid, Oliver. “Thermal Monitoring of Electric Motors: State-of-the-Art
Review and Future Challenges.” IEEE Open Journal of Industry Applications,
2021.'
ieee: 'O. Wallscheid, “Thermal Monitoring of Electric Motors: State-of-the-Art Review
and Future Challenges,” IEEE Open Journal of Industry Applications, 2021.'
mla: 'Wallscheid, Oliver. “Thermal Monitoring of Electric Motors: State-of-the-Art
Review and Future Challenges.” IEEE Open Journal of Industry Applications,
IEEE, 2021.'
short: O. Wallscheid, IEEE Open Journal of Industry Applications (2021).
date_created: 2022-01-28T14:11:08Z
date_updated: 2022-02-25T20:30:50Z
department:
- _id: '52'
- _id: '57'
language:
- iso: eng
publication: IEEE Open Journal of Industry Applications
publisher: IEEE
status: public
title: 'Thermal Monitoring of Electric Motors: State-of-the-Art Review and Future
Challenges'
type: journal_article
user_id: '11291'
year: '2021'
...
---
_id: '29662'
author:
- first_name: Maximilian
full_name: Schenke, Maximilian
id: '52638'
last_name: Schenke
orcid: 0000-0001-5427-9527
- first_name: Oliver
full_name: Wallscheid, Oliver
id: '11291'
last_name: Wallscheid
orcid: https://orcid.org/0000-0001-9362-8777
citation:
ama: Schenke M, Wallscheid O. Improved Exploring Starts by Kernel Density Estimation-Based
State-Space Coverage Acceleration in Reinforcement Learning. arXiv preprint
arXiv:210508990. Published online 2021.
apa: Schenke, M., & Wallscheid, O. (2021). Improved Exploring Starts by Kernel
Density Estimation-Based State-Space Coverage Acceleration in Reinforcement Learning.
ArXiv Preprint ArXiv:2105.08990.
bibtex: '@article{Schenke_Wallscheid_2021, title={Improved Exploring Starts by Kernel
Density Estimation-Based State-Space Coverage Acceleration in Reinforcement Learning},
journal={arXiv preprint arXiv:2105.08990}, author={Schenke, Maximilian and Wallscheid,
Oliver}, year={2021} }'
chicago: 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.
ieee: 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.
mla: 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.
short: M. Schenke, O. Wallscheid, ArXiv Preprint ArXiv:2105.08990 (2021).
date_created: 2022-01-28T14:11:08Z
date_updated: 2022-02-25T20:31:17Z
department:
- _id: '52'
- _id: '57'
language:
- iso: eng
publication: arXiv preprint arXiv:2105.08990
status: public
title: Improved Exploring Starts by Kernel Density Estimation-Based State-Space Coverage
Acceleration in Reinforcement Learning
type: journal_article
user_id: '11291'
year: '2021'
...
---
_id: '35589'
author:
- first_name: Tomislav
full_name: Dragicevic, Tomislav
last_name: Dragicevic
- first_name: Alessandra
full_name: Parisio, Alessandra
last_name: Parisio
- first_name: Jose
full_name: Rodriguez, Jose
last_name: Rodriguez
- first_name: Colin
full_name: Jones, Colin
last_name: Jones
- first_name: Daniel
full_name: Quevedo, Daniel
last_name: Quevedo
- first_name: Luca
full_name: Ferrarini, Luca
last_name: Ferrarini
- first_name: Matthias
full_name: Preindl, Matthias
last_name: Preindl
- first_name: Qobad
full_name: Shafiee, Qobad
last_name: Shafiee
- first_name: Thomas
full_name: Morstyn, Thomas
last_name: Morstyn
citation:
ama: Dragicevic T, Parisio A, Rodriguez J, et al. Guest Editorial Model Predictive
Control in Energy Conversion Systems. IEEE Transactions on Energy Conversion.
2021;36(2):1311-1312. doi:10.1109/tec.2021.3076279
apa: Dragicevic, T., Parisio, A., Rodriguez, J., Jones, C., Quevedo, D., Ferrarini,
L., Preindl, M., Shafiee, Q., & Morstyn, T. (2021). Guest Editorial Model
Predictive Control in Energy Conversion Systems. IEEE Transactions on Energy
Conversion, 36(2), 1311–1312. https://doi.org/10.1109/tec.2021.3076279
bibtex: '@article{Dragicevic_Parisio_Rodriguez_Jones_Quevedo_Ferrarini_Preindl_Shafiee_Morstyn_2021,
title={Guest Editorial Model Predictive Control in Energy Conversion Systems},
volume={36}, DOI={10.1109/tec.2021.3076279},
number={2}, journal={IEEE Transactions on Energy Conversion}, publisher={Institute
of Electrical and Electronics Engineers (IEEE)}, author={Dragicevic, Tomislav
and Parisio, Alessandra and Rodriguez, Jose and Jones, Colin and Quevedo, Daniel
and Ferrarini, Luca and Preindl, Matthias and Shafiee, Qobad and Morstyn, Thomas},
year={2021}, pages={1311–1312} }'
chicago: '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.” IEEE
Transactions on Energy Conversion 36, no. 2 (2021): 1311–12. https://doi.org/10.1109/tec.2021.3076279.'
ieee: '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.'
mla: Dragicevic, Tomislav, et al. “Guest Editorial Model Predictive Control in Energy
Conversion Systems.” IEEE Transactions on Energy Conversion, vol. 36, no.
2, Institute of Electrical and Electronics Engineers (IEEE), 2021, pp. 1311–12,
doi:10.1109/tec.2021.3076279.
short: T. Dragicevic, A. Parisio, J. Rodriguez, C. Jones, D. Quevedo, L. Ferrarini,
M. Preindl, Q. Shafiee, T. Morstyn, IEEE Transactions on Energy Conversion 36
(2021) 1311–1312.
date_created: 2023-01-09T16:49:08Z
date_updated: 2023-01-09T16:49:23Z
department:
- _id: '57'
doi: 10.1109/tec.2021.3076279
intvolume: ' 36'
issue: '2'
keyword:
- Electrical and Electronic Engineering
- Energy Engineering and Power Technology
language:
- iso: eng
page: 1311-1312
publication: IEEE Transactions on Energy Conversion
publication_identifier:
issn:
- 0885-8969
- 1558-0059
publication_status: published
publisher: Institute of Electrical and Electronics Engineers (IEEE)
status: public
title: Guest Editorial Model Predictive Control in Energy Conversion Systems
type: journal_article
user_id: '158'
volume: 36
year: '2021'
...
---
_id: '35588'
abstract:
- lang: eng
text: "We consider the joint design of control and scheduling under stochastic\r\nDenial-of-Service
(DoS) attacks in the context of networked control systems. A\r\nsensor takes measurements
of the system output and forwards its dynamic state\r\nestimates to a remote controller
over a packet-dropping link. The controller\r\ndetermines the optimal control
law for the process using the estimates it\r\nreceives. An attacker aims at degrading
the control performance by increasing\r\nthe packet-dropout rate with a DoS attack
towards the sensor-controller\r\nchannel. We assume both the controller and the
attacker are rational in a\r\ngame-theoretic sense and establish a partially observable
stochastic game to\r\nderive the optimal joint design of scheduling and control.
Using dynamic\r\nprogramming we prove that the control and scheduling policies
can be designed\r\nseparately without sacrificing optimality, making the problem
equivalent to a\r\ncomplete information game. We employ Nash Q-learning to solve
the problem and\r\nprove that the solution is guaranteed to constitute an $\\epsilon$-Nash\r\nequilibrium.
Numerical examples are provided to illustrate the tradeoffs\r\nbetween control
performance and communication cost."
author:
- first_name: Jingyi
full_name: Lu, Jingyi
last_name: Lu
- first_name: Daniel E.
full_name: Quevedo, Daniel E.
last_name: Quevedo
citation:
ama: Lu J, Quevedo DE. A Jointly Optimal Design of Control and Scheduling in Networked
Systems under Denial-of-Service Attacks. arXiv:210305893. Published online
2021.
apa: Lu, J., & Quevedo, D. E. (2021). A Jointly Optimal Design of Control and
Scheduling in Networked Systems under Denial-of-Service Attacks. In arXiv:2103.05893.
bibtex: '@article{Lu_Quevedo_2021, title={A Jointly Optimal Design of Control and
Scheduling in Networked Systems under Denial-of-Service Attacks}, journal={arXiv:2103.05893},
author={Lu, Jingyi and Quevedo, Daniel E.}, year={2021} }'
chicago: 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.
ieee: J. Lu and D. E. Quevedo, “A Jointly Optimal Design of Control and Scheduling
in Networked Systems under Denial-of-Service Attacks,” arXiv:2103.05893.
2021.
mla: 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.
short: J. Lu, D.E. Quevedo, ArXiv:2103.05893 (2021).
date_created: 2023-01-09T16:48:44Z
date_updated: 2023-01-09T18:04:57Z
department:
- _id: '57'
external_id:
arxiv:
- '2103.05893'
language:
- iso: eng
publication: arXiv:2103.05893
status: public
title: A Jointly Optimal Design of Control and Scheduling in Networked Systems under
Denial-of-Service Attacks
type: preprint
user_id: '158'
year: '2021'
...
---
_id: '29649'
author:
- first_name: Stefan
full_name: Heid, Stefan
id: '39640'
last_name: Heid
orcid: 0000-0002-9461-7372
- first_name: Daniel
full_name: Weber, Daniel
id: '24041'
last_name: Weber
orcid: 0000-0003-3367-5998
- first_name: Henrik
full_name: Bode, Henrik
id: '40880'
last_name: Bode
- first_name: Eyke
full_name: Hüllermeier, Eyke
last_name: Hüllermeier
- first_name: Oliver
full_name: Wallscheid, Oliver
id: '11291'
last_name: Wallscheid
orcid: https://orcid.org/0000-0001-9362-8777
citation:
ama: 'Heid S, Weber D, Bode H, Hüllermeier E, Wallscheid O. OMG: A scalable and
flexible simulation and testing environment toolbox for intelligent microgrid
control. Journal of Open Source Software. 2020;5(54):2435.'
apa: 'Heid, S., Weber, D., Bode, H., Hüllermeier, E., & Wallscheid, O. (2020).
OMG: A scalable and flexible simulation and testing environment toolbox for intelligent
microgrid control. Journal of Open Source Software, 5(54), 2435.'
bibtex: '@article{Heid_Weber_Bode_Hüllermeier_Wallscheid_2020, title={OMG: A scalable
and flexible simulation and testing environment toolbox for intelligent microgrid
control}, volume={5}, number={54}, journal={Journal of Open Source Software},
author={Heid, Stefan and Weber, Daniel and Bode, Henrik and Hüllermeier, Eyke
and Wallscheid, Oliver}, year={2020}, pages={2435} }'
chicago: '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.'
ieee: '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.'
mla: 'Heid, Stefan, et al. “OMG: A Scalable and Flexible Simulation and Testing
Environment Toolbox for Intelligent Microgrid Control.” Journal of Open Source
Software, vol. 5, no. 54, 2020, p. 2435.'
short: S. Heid, D. Weber, H. Bode, E. Hüllermeier, O. Wallscheid, Journal of Open
Source Software 5 (2020) 2435.
date_created: 2022-01-28T14:11:04Z
date_updated: 2022-03-02T07:16:15Z
department:
- _id: '52'
- _id: '57'
intvolume: ' 5'
issue: '54'
language:
- iso: eng
page: '2435'
publication: Journal of Open Source Software
status: public
title: 'OMG: A scalable and flexible simulation and testing environment toolbox for
intelligent microgrid control'
type: journal_article
user_id: '11291'
volume: 5
year: '2020'
...
---
_id: '35585'
author:
- first_name: Jingyi
full_name: Lu, Jingyi
last_name: Lu
- first_name: Alex S.
full_name: Leong, Alex S.
last_name: Leong
- first_name: Daniel E.
full_name: Quevedo, Daniel E.
last_name: Quevedo
citation:
ama: Lu J, Leong AS, Quevedo DE. Optimal event‐triggered transmission scheduling
for privacy‐preserving wireless state estimation. International Journal of
Robust and Nonlinear Control. 2020;30(11):4205-4224. doi:10.1002/rnc.4910
apa: Lu, J., Leong, A. S., & Quevedo, D. E. (2020). Optimal event‐triggered
transmission scheduling for privacy‐preserving wireless state estimation. International
Journal of Robust and Nonlinear Control, 30(11), 4205–4224. https://doi.org/10.1002/rnc.4910
bibtex: '@article{Lu_Leong_Quevedo_2020, title={Optimal event‐triggered transmission
scheduling for privacy‐preserving wireless state estimation}, volume={30}, DOI={10.1002/rnc.4910}, number={11}, journal={International
Journal of Robust and Nonlinear Control}, publisher={Wiley}, author={Lu, Jingyi
and Leong, Alex S. and Quevedo, Daniel E.}, year={2020}, pages={4205–4224} }'
chicago: 'Lu, Jingyi, Alex S. Leong, and Daniel E. Quevedo. “Optimal Event‐triggered
Transmission Scheduling for Privacy‐preserving Wireless State Estimation.” International
Journal of Robust and Nonlinear Control 30, no. 11 (2020): 4205–24. https://doi.org/10.1002/rnc.4910.'
ieee: '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.'
mla: Lu, Jingyi, et al. “Optimal Event‐triggered Transmission Scheduling for Privacy‐preserving
Wireless State Estimation.” International Journal of Robust and Nonlinear Control,
vol. 30, no. 11, Wiley, 2020, pp. 4205–24, doi:10.1002/rnc.4910.
short: J. Lu, A.S. Leong, D.E. Quevedo, International Journal of Robust and Nonlinear
Control 30 (2020) 4205–4224.
date_created: 2023-01-09T16:46:15Z
date_updated: 2023-01-09T16:46:29Z
department:
- _id: '57'
doi: 10.1002/rnc.4910
intvolume: ' 30'
issue: '11'
keyword:
- Electrical and Electronic Engineering
- Industrial and Manufacturing Engineering
- Mechanical Engineering
- Aerospace Engineering
- Biomedical Engineering
- General Chemical Engineering
- Control and Systems Engineering
language:
- iso: eng
page: 4205-4224
publication: International Journal of Robust and Nonlinear Control
publication_identifier:
issn:
- 1049-8923
- 1099-1239
publication_status: published
publisher: Wiley
status: public
title: Optimal event‐triggered transmission scheduling for privacy‐preserving wireless
state estimation
type: journal_article
user_id: '158'
volume: 30
year: '2020'
...
---
_id: '42073'
author:
- first_name: Navid
full_name: Noroozi, Navid
last_name: Noroozi
- first_name: Roxanne
full_name: Jackson, Roxanne
last_name: Jackson
- first_name: Daniel E.
full_name: Quevedo, Daniel E.
last_name: Quevedo
- first_name: Fabian R.
full_name: Wirth, Fabian R.
last_name: Wirth
- first_name: Rolf
full_name: Findeisen, Rolf
last_name: Findeisen
citation:
ama: 'Noroozi N, Jackson R, Quevedo DE, Wirth FR, Findeisen R. On noise-to-state
stability of stochastic discrete-time systems via finite-step Lyapunov functions.
In: 2019 IEEE 58th Conference on Decision and Control (CDC). IEEE; 2020.
doi:10.1109/cdc40024.2019.9030178'
apa: Noroozi, N., Jackson, R., Quevedo, D. E., Wirth, F. R., & Findeisen, R.
(2020). On noise-to-state stability of stochastic discrete-time systems via finite-step
Lyapunov functions. 2019 IEEE 58th Conference on Decision and Control (CDC).
https://doi.org/10.1109/cdc40024.2019.9030178
bibtex: '@inproceedings{Noroozi_Jackson_Quevedo_Wirth_Findeisen_2020, title={On
noise-to-state stability of stochastic discrete-time systems via finite-step Lyapunov
functions}, DOI={10.1109/cdc40024.2019.9030178},
booktitle={2019 IEEE 58th Conference on Decision and Control (CDC)}, publisher={IEEE},
author={Noroozi, Navid and Jackson, Roxanne and Quevedo, Daniel E. and Wirth,
Fabian R. and Findeisen, Rolf}, year={2020} }'
chicago: 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.” In 2019 IEEE 58th Conference on Decision
and Control (CDC). IEEE, 2020. https://doi.org/10.1109/cdc40024.2019.9030178.
ieee: '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.'
mla: Noroozi, Navid, et al. “On Noise-to-State Stability of Stochastic Discrete-Time
Systems via Finite-Step Lyapunov Functions.” 2019 IEEE 58th Conference on Decision
and Control (CDC), IEEE, 2020, doi:10.1109/cdc40024.2019.9030178.
short: 'N. Noroozi, R. Jackson, D.E. Quevedo, F.R. Wirth, R. Findeisen, in: 2019
IEEE 58th Conference on Decision and Control (CDC), IEEE, 2020.'
date_created: 2023-02-14T11:02:49Z
date_updated: 2023-02-14T11:08:09Z
department:
- _id: '57'
doi: 10.1109/cdc40024.2019.9030178
language:
- iso: eng
publication: 2019 IEEE 58th Conference on Decision and Control (CDC)
publication_status: published
publisher: IEEE
status: public
title: On noise-to-state stability of stochastic discrete-time systems via finite-step
Lyapunov functions
type: conference
user_id: '238'
year: '2020'
...
---
_id: '42074'
author:
- first_name: K.
full_name: Ding, K.
last_name: Ding
- first_name: X.
full_name: Ren, X.
last_name: Ren
- first_name: D. E.
full_name: Quevedo, D. E.
last_name: Quevedo
- first_name: S.
full_name: Dey, S.
last_name: Dey
- first_name: L.
full_name: Shi, L.
last_name: Shi
citation:
ama: Ding K, Ren X, Quevedo DE, Dey S, Shi L. Defensive deception against reactive
jamming attacks in remote state estimation. Automatica. 2020;113.
apa: Ding, K., Ren, X., Quevedo, D. E., Dey, S., & Shi, L. (2020). Defensive
deception against reactive jamming attacks in remote state estimation. Automatica,
113.
bibtex: '@article{Ding_Ren_Quevedo_Dey_Shi_2020, title={Defensive deception against
reactive jamming attacks in remote state estimation}, volume={113}, journal={Automatica},
author={Ding, K. and Ren, X. and Quevedo, D. E. and Dey, S. and Shi, L.}, year={2020}
}'
chicago: 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).
ieee: 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.
mla: Ding, K., et al. “Defensive Deception against Reactive Jamming Attacks in Remote
State Estimation.” Automatica, vol. 113, 2020.
short: K. Ding, X. Ren, D.E. Quevedo, S. Dey, L. Shi, Automatica 113 (2020).
date_created: 2023-02-14T11:10:42Z
date_updated: 2023-02-14T11:29:59Z
department:
- _id: '57'
intvolume: ' 113'
language:
- iso: eng
publication: Automatica
status: public
title: Defensive deception against reactive jamming attacks in remote state estimation
type: journal_article
user_id: '238'
volume: 113
year: '2020'
...
---
_id: '15741'
abstract:
- lang: eng
text: "\r\nIn many cyber–physical systems, we encounter the problem of remote state
estimation of geo- graphically distributed and remote physical processes. This
paper studies the scheduling of sensor transmissions to estimate the states of
multiple remote, dynamic processes. Information from the different sensors has
to be transmitted to a central gateway over a wireless network for monitoring
purposes, where typically fewer wireless channels are available than there are
processes to be monitored. For effective estimation at the gateway, the sensors
need to be scheduled appropriately, i.e., at each time instant one needs to decide
which sensors have network access and which ones do not. To address this scheduling
problem, we formulate an associated Markov decision process (MDP). This MDP is
then solved using a Deep Q-Network, a recent deep reinforcement learning algorithm
that is at once scalable and model-free. We compare our scheduling algorithm to
popular scheduling algorithms such as round-robin and reduced-waiting-time, among
others. Our algorithm is shown to significantly outperform these algorithms for
many example scenario"
article_number: '108759'
author:
- first_name: Alex S.
full_name: Leong, Alex S.
last_name: Leong
- first_name: Arunselvan
full_name: Ramaswamy, Arunselvan
id: '66937'
last_name: Ramaswamy
orcid: https://orcid.org/ 0000-0001-7547-8111
- first_name: Daniel E.
full_name: Quevedo, Daniel E.
last_name: Quevedo
- first_name: Holger
full_name: Karl, Holger
id: '126'
last_name: Karl
- first_name: Ling
full_name: Shi, Ling
last_name: Shi
citation:
ama: Leong AS, Ramaswamy A, Quevedo DE, Karl H, Shi L. Deep reinforcement learning
for wireless sensor scheduling in cyber–physical systems. Automatica. 2019.
doi:10.1016/j.automatica.2019.108759
apa: Leong, A. S., Ramaswamy, A., Quevedo, D. E., Karl, H., & Shi, L. (2019).
Deep reinforcement learning for wireless sensor scheduling in cyber–physical systems.
Automatica. https://doi.org/10.1016/j.automatica.2019.108759
bibtex: '@article{Leong_Ramaswamy_Quevedo_Karl_Shi_2019, title={Deep reinforcement
learning for wireless sensor scheduling in cyber–physical systems}, DOI={10.1016/j.automatica.2019.108759},
number={108759}, journal={Automatica}, author={Leong, Alex S. and Ramaswamy, Arunselvan
and Quevedo, Daniel E. and Karl, Holger and Shi, Ling}, year={2019} }'
chicago: Leong, Alex S., Arunselvan Ramaswamy, Daniel E. Quevedo, Holger Karl, and
Ling Shi. “Deep Reinforcement Learning for Wireless Sensor Scheduling in Cyber–Physical
Systems.” Automatica, 2019. https://doi.org/10.1016/j.automatica.2019.108759.
ieee: 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.
mla: Leong, Alex S., et al. “Deep Reinforcement Learning for Wireless Sensor Scheduling
in Cyber–Physical Systems.” Automatica, 108759, 2019, doi:10.1016/j.automatica.2019.108759.
short: A.S. Leong, A. Ramaswamy, D.E. Quevedo, H. Karl, L. Shi, Automatica (2019).
date_created: 2020-01-31T15:55:27Z
date_updated: 2022-01-06T06:52:32Z
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doi: 10.1016/j.automatica.2019.108759
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name: Netzgewahre Regelung & regelungsgewahre Netze
publication: Automatica
publication_identifier:
issn:
- 0005-1098
publication_status: published
quality_controlled: '1'
status: public
title: Deep reinforcement learning for wireless sensor scheduling in cyber–physical
systems
type: journal_article
user_id: '126'
year: '2019'
...
---
_id: '35583'
article_number: '108759'
author:
- first_name: Alex S.
full_name: Leong, Alex S.
last_name: Leong
- first_name: Arunselvan
full_name: Ramaswamy, Arunselvan
last_name: Ramaswamy
- first_name: Daniel E.
full_name: Quevedo, Daniel E.
last_name: Quevedo
- first_name: Holger
full_name: Karl, Holger
last_name: Karl
- first_name: Ling
full_name: Shi, Ling
last_name: Shi
citation:
ama: Leong AS, Ramaswamy A, Quevedo DE, Karl H, Shi L. Deep reinforcement learning
for wireless sensor scheduling in cyber–physical systems. Automatica. 2019;113.
doi:10.1016/j.automatica.2019.108759
apa: Leong, A. S., Ramaswamy, A., Quevedo, D. E., Karl, H., & Shi, L. (2019).
Deep reinforcement learning for wireless sensor scheduling in cyber–physical systems.
Automatica, 113, Article 108759. https://doi.org/10.1016/j.automatica.2019.108759
bibtex: '@article{Leong_Ramaswamy_Quevedo_Karl_Shi_2019, title={Deep reinforcement
learning for wireless sensor scheduling in cyber–physical systems}, volume={113},
DOI={10.1016/j.automatica.2019.108759},
number={108759}, journal={Automatica}, publisher={Elsevier BV}, author={Leong,
Alex S. and Ramaswamy, Arunselvan and Quevedo, Daniel E. and Karl, Holger and
Shi, Ling}, year={2019} }'
chicago: Leong, Alex S., Arunselvan Ramaswamy, Daniel E. Quevedo, Holger Karl, and
Ling Shi. “Deep Reinforcement Learning for Wireless Sensor Scheduling in Cyber–Physical
Systems.” Automatica 113 (2019). https://doi.org/10.1016/j.automatica.2019.108759.
ieee: '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.'
mla: Leong, Alex S., et al. “Deep Reinforcement Learning for Wireless Sensor Scheduling
in Cyber–Physical Systems.” Automatica, vol. 113, 108759, Elsevier BV,
2019, doi:10.1016/j.automatica.2019.108759.
short: A.S. Leong, A. Ramaswamy, D.E. Quevedo, H. Karl, L. Shi, Automatica 113 (2019).
date_created: 2023-01-09T16:44:58Z
date_updated: 2023-01-09T16:45:15Z
department:
- _id: '57'
doi: 10.1016/j.automatica.2019.108759
intvolume: ' 113'
keyword:
- Electrical and Electronic Engineering
- Control and Systems Engineering
language:
- iso: eng
publication: Automatica
publication_identifier:
issn:
- 0005-1098
publication_status: published
publisher: Elsevier BV
status: public
title: Deep reinforcement learning for wireless sensor scheduling in cyber–physical
systems
type: journal_article
user_id: '158'
volume: 113
year: '2019'
...
---
_id: '35584'
article_number: '108680'
author:
- first_name: Kemi
full_name: Ding, Kemi
last_name: Ding
- first_name: Xiaoqiang
full_name: Ren, Xiaoqiang
last_name: Ren
- first_name: Daniel E.
full_name: Quevedo, Daniel E.
last_name: Quevedo
- first_name: Subhrakanti
full_name: Dey, Subhrakanti
last_name: Dey
- first_name: Ling
full_name: Shi, Ling
last_name: Shi
citation:
ama: Ding K, Ren X, Quevedo DE, Dey S, Shi L. Defensive deception against reactive
jamming attacks in remote state estimation. Automatica. 2019;113. doi:10.1016/j.automatica.2019.108680
apa: Ding, K., Ren, X., Quevedo, D. E., Dey, S., & Shi, L. (2019). Defensive
deception against reactive jamming attacks in remote state estimation. Automatica,
113, Article 108680. https://doi.org/10.1016/j.automatica.2019.108680
bibtex: '@article{Ding_Ren_Quevedo_Dey_Shi_2019, title={Defensive deception against
reactive jamming attacks in remote state estimation}, volume={113}, DOI={10.1016/j.automatica.2019.108680},
number={108680}, journal={Automatica}, publisher={Elsevier BV}, author={Ding,
Kemi and Ren, Xiaoqiang and Quevedo, Daniel E. and Dey, Subhrakanti and Shi, Ling},
year={2019} }'
chicago: Ding, Kemi, Xiaoqiang Ren, Daniel E. Quevedo, Subhrakanti Dey, and Ling
Shi. “Defensive Deception against Reactive Jamming Attacks in Remote State Estimation.”
Automatica 113 (2019). https://doi.org/10.1016/j.automatica.2019.108680.
ieee: '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.'
mla: Ding, Kemi, et al. “Defensive Deception against Reactive Jamming Attacks in
Remote State Estimation.” Automatica, vol. 113, 108680, Elsevier BV, 2019,
doi:10.1016/j.automatica.2019.108680.
short: K. Ding, X. Ren, D.E. Quevedo, S. Dey, L. Shi, Automatica 113 (2019).
date_created: 2023-01-09T16:45:46Z
date_updated: 2023-01-09T16:45:59Z
department:
- _id: '57'
doi: 10.1016/j.automatica.2019.108680
intvolume: ' 113'
keyword:
- Electrical and Electronic Engineering
- Control and Systems Engineering
language:
- iso: eng
publication: Automatica
publication_identifier:
issn:
- 0005-1098
publication_status: published
publisher: Elsevier BV
status: public
title: Defensive deception against reactive jamming attacks in remote state estimation
type: journal_article
user_id: '158'
volume: 113
year: '2019'
...
---
_id: '42220'
author:
- first_name: Z.
full_name: Guo, Z.
last_name: Guo
- first_name: D.
full_name: Shi, D.
last_name: Shi
- first_name: D. E.
full_name: Quevedo, D. E.
last_name: Quevedo
- first_name: L.
full_name: Shi, L.
last_name: Shi
citation:
ama: 'Guo Z, Shi D, Quevedo DE, Shi L. 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. 2019;67(1):194–207.'
apa: 'Guo, Z., Shi, D., Quevedo, D. E., & Shi, L. (2019). 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(1), 194–207.'
bibtex: '@article{Guo_Shi_Quevedo_Shi_2019, title={Secure State Estimation Against
Integrity Attacks: A Gaussian Mixture Model Approach Secure State Estimation Against
Integrity Attacks: A Gaussian Mixture Model Approach}, volume={67}, number={1},
journal={Trans. Signal Processing}, author={Guo, Z. and Shi, D. and Quevedo, D.
E. and Shi, L.}, year={2019}, pages={194–207} }'
chicago: '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.'
ieee: '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.'
mla: 'Guo, Z., et al. “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, 2019,
pp. 194–207.'
short: Z. Guo, D. Shi, D.E. Quevedo, L. Shi, Trans. Signal Processing 67 (2019)
194–207.
date_created: 2023-02-17T14:34:53Z
date_updated: 2023-02-17T14:38:38Z
department:
- _id: '57'
intvolume: ' 67'
issue: '1'
language:
- iso: eng
page: 194–207
publication: Trans. Signal Processing
status: public
title: 'Secure State Estimation Against Integrity Attacks: A Gaussian Mixture Model
Approach Secure State Estimation Against Integrity Attacks: A Gaussian Mixture Model
Approach'
type: journal_article
user_id: '238'
volume: 67
year: '2019'
...