Projects per year
Organization profile
The group focuses on control and decision synthesis for autonomous machines and infrastructures. The decisions are based on the combination of physical modeling and omnipresent data. Three research subjects are merged: optimization (including multi-objective optimization, dynamic programming, and reinforcement learning), safety and resilience assessment, secure and privacy-preserving implementation of control algorithms.
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Network
Profiles
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Mohamad Al Ahdab
- The Technical Faculty of IT and Design - PhD Fellow
- Department of Electronic Systems - PhD Fellow
- Automation & Control - PhD Fellow
- Learning and Decisions Lab
- Nonlinear and Optimal Control Lab
Person: VIP
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Krisztian Mark Balla
- The Technical Faculty of IT and Design - Business PhD
- Department of Electronic Systems - Business PhD
- Automation & Control - Business PhD
- Green Lab
- Learning and Decisions Lab
Person: VIP, External
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Henrik Glavind Clausen
- The Technical Faculty of IT and Design - PhD Fellow
- Department of Electronic Systems - PhD Fellow
- Automation & Control - PhD Fellow
- Learning and Decisions Lab
Person: VIP
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SWIFT
Wisniewski, R., Misra, R., Rathore, S. S., Kuskonmaz, B., Jessen, J. F., Andersen, A. O. & Gundersen, J. S.
01/10/2019 → 30/09/2024
Project: Research
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Research output
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A learning-based approach towards the data-driven predictive control of combined wastewater networks - An experimental study
Balla, K. M., Bendtsen, J. D., Schou, C., Kallesøe, C. & Ocampo-Martinez, C., 10 Mar 2022, In: Water Research. p. 1-15Research output: Contribution to journal › Journal article › Research › peer-review
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Control of COD Flow to a Waste Water Treatment Plant
Nielsen, K. M., Pedersen, T. S., Kallesøe, C. & Andersen, P., 2022, Informatics in Control, Automation and Robotics 2020. Gusikhin, O., Madani, K. & Zaytoon, J. (eds.). Springer, p. 83-104 22 p. (Lecture Notes in Electrical Engineering, Vol. 793).Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review
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Learning-Based Predictive Control with Gaussian Processes: An Application to Urban Drainage Networks
Balla, K. M., Eringis, D., Ahdab, M. A., Bendtsen, J. D., Kallesøe, C. & Ocampo-Martinez, C., 1 Feb 2022, (Accepted/In press) Learning-Based Predictive Control with Gaussian Processes: An Application to Urban Drainage Networks. p. 1-7 7 p.Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review
Open AccessFile
Activities
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Privacy-Preserving Distributed Processing: Metrics, Bounds and Algorithms
Jaron Skovsted Gundersen (Lecturer)
10 Dec 2021Activity: Talks and presentations › Conference presentations
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IEEE International Workshop on Information Forensics and Security
Jaron Skovsted Gundersen (Participant)
7 Dec 2021 → 10 Dec 2021Activity: Attending an event › Organisation or participation in workshops, courses, or seminars
Press / Media
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Sikre algoritmer skal beskytte samfundet
14/05/2022 → 16/05/2022
2 items of Media coverage
Press/Media: Press / Media
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Nye og sikre algoritmer skal beskytte vindmøller, energisystemer og vand-netværk mod hackerangreb
08/05/2022 → 10/05/2022
11 items of Media coverage
Press/Media: Press / Media
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Spildevand trak ung forsker fra Ungarn til Danmark
18/08/2021
1 item of Media coverage
Press/Media: Press / Media