Florian Dörfler, Prof. Dr.
 |
Automatic Control Laboratory (IfA) ContactOffice: ETL I 26 |
I am a Full Professor at the Automatic Control Laboratory at ETH Zürich.
I am privileged to work with an outstanding research group on topics centered entered around automatic control, system theory, and optimization with applications primarily in the energy domain.
For the non-scientific audience: if you want to learn more about myself and my discipline, then take a look at this podcast, this interview, or this one. For all the experts, feel free to explore slides, papers, courses, and collaborations linked from this page.
News & Updates
2024: our work online feedback optimization applied to the AEW power system received the Watt D'Or Award
2023: our method online feedback optimization made the jump from theory to 24/7 industrial deployment –> article & video
2023: We have received the 2022 IEEE Transactions on Power Electronics (TPEL) Prize Paper Award
2023: I taught at the DTU PES Summer School on DeePC: see here for my annotated slides
2023: I am teaching control systems at Ashesi University in Ghana
2022: Alberto Padoan launched the inControl podcast
2022: I am co-organizing the NCCR Symposia on Systems Theory of Algorithms
2022: Saverio and I will be teaching an EECI course on Autonomous Power Systems at KTH
2022: began my tenure serving on the EUCA council
2021: an outstanding team of students have received the ITSC 2021 best paper award
2021: exciting adventures on the administrative/executive side of academia co-leading ETH's ITET department
2021: I am in charge of organizing NecSys 22, a conference that I have always been very fond of.
2020: I am honored to receive the EUCA European Control Award
2020: I am honored to receive the IFAC Manfred Thoma medal
Please also check out also the institute news website for further updates, announcements, and events.
Research
My general research interests are centered around automatic control, system theory, and optimization. My particular foci are on network systems, data-driven settings, and applications to power systems. My group has pioneered many theory methods that also found their way into industrial applications in the energy domain.
Topics of recent interest include
data-driven control,
online feedback optimization,
control in low-inertia power systems, and
decision making in measure spaces.
An updated list of publications, preprints, and technical reports can be found here or on Google Scholar.
Below are some indicative slides and online talks summarizing our work. Take a look here for tutorial slides and here for further research presentations.
Online Feedback Optimization
Data-Enabled Predictive Control
LQR Learning Pipelines
Virtual Oscillator Control of Converters
Power-Electronics-Dominated Power Systems
Dynamic Virtual Power Plant Control
DeePC of Autonomous Energy Systems
Propagate Distributional Uncertainty
Game Theoretical Inference in Social Networks
Data-Enabled Predictive Control
Online Feedback Optimization
Deployment of Feedback Optimization
Advanced Grid-Forming Controls
Game Theoretical Inference in Social Networks
Teaching, Projects, Seminars, & Outreach
I am involved in various lecturing, tutoring, and seminar activities; see the left column for a few snippets. If you are interested in bachelor, group, semester, or master projects, then take a look here, see the institute page, or directly contact members of my team who regularly advise such projects.
My profile on Google Scholar, my Twitter/X channel, my full Curriculum Vitae, and a biosketch.