#ModConFlex is a #HorizonEU #MSCA project on the Modelling and Control of Flexible Structures Interacting with Fluids.
#controltheory
#machinelearning
#artificialintelligence
#offshorewind
#flexibleaircraft
| homepage | https://modconflex.uni-wuppertal.de |
#MSCA researcher V. Ocqueteau has written the “Analysis of a Model for a Floating Platform Coupled with a Flexible Beam”. In the paper, he establishes well-posedness and derives an energy balance for the model.
The results contribute to modelling offshore applications such as offshore floating flare towers, crane vessels, meteorological masts and, most notably, wind turbines.
Currently, Vicente is staying @DLR for three months, working on simulations of the model.
Last week, ModConFlex researchers and professors from Besançon, Twente and Wuppertal met at the Franco-German Doctoral College at Wuppertal.
It was a great opportunity to talk and exchange with more recent and long-term members of the PHS community.
#Modelling and #Control of Flexible #Structures Interacting with #Fluids - #Conference: 10 to 12 June 2026 at Wuppertal
Listen to and discuss talks (and present?)
➡️ geometrically nonlinear optimization of highly flexible wings
➡️ the motion of a rigid body in a perfect compressible fluid
➡️ modelling of slender locomotors at microscopic scale and applications to micro-robot control
➡️ learning provably bounded polynomial ODEs from data
More details and registration:
https://modconflex.uni-wuppertal.de/en/network-meetings/modconflex-conference/
Congratulations to the very productive #ModConFlex researchers! Over 20 papers have been written within our #MSCA project so far - several of them published.
For details, see https://modconflex.uni-wuppertal.de/en/publications
📢NEW for Fortune magazine: I visited the amazing Offshore Renewable Energy Catapult in Blyth, on the North Sea coast. It's a facility that is accelerating the energy transition in astonishing ways ... but it's up against some major challenges. @orecatapult.bsky.social https://fortune.com/europe/2025/05/16/size-matters-why-offshore-wind-industry-supersizing-everything/
Boundary control systems on a one-dimension spatial domain - new paper co-authored by #ModConFlex researcher Bouchra Elghazi:
The paper studies when mathematical models of flexible structures with control at their boundaries are well posed. The authors identify the conditions under which the models can be fully controlled and observed.
This is useful for controlling and monitoring vibrations in structures like beams, aircraft wings, or wind-turbine blades.
#ModConFlex researcher Qian Liu recently co-authored a paper in #IEEE Transactions on Power Electronics journal.
It comprises research on developing advanced control strategies for inverter-based resources (e.g., solar photovoltaics, wind turbine generators) to ride through contingencies in electric grids.
https://ieeexplore.ieee.org/document/11249469
#gridforming #IBR #powersystem #powerelectronics #renewables #stability #protection #relay
They had a steady stream of visitors throughout the evening (from 5 pm to midnight). Many were curious about how large language models like ChatGPT “understand” emotions in text and asked whether machines can truly grasp meaning or context. Others were interested in the technical side, for example, how the model works mathematically and how the visualization is computed.
Check out the App on https://albertalcalde.github.io/SentimentAnalysisTransformersApp/
1. Enter sentence + click Analyse
2. Wait for 20-30 secs + click Play
During the Lange Nacht der Wissenschaften 2025 (https://nacht-der-wissenschaften.de/2025/sentimentanalyse-mit-transformern-in-aktion) - science night, #MSCA researcher Albert Alcalde presented an interactive web app on Sentiment Analysis with Transformers, which lets visitors type any sentence and instantly see whether it expresses a positive or negative sentiment. The app also visualizes, in real time, how a Transformer model modifies word representations layer by layer, showing how meaning and sentiment gradually emerge inside the network.
The winner of this year's presentation prize is #ModConFlex researcher Albert Alcalde. Congratulations!!
In his presentation, Albert showed how #transformer models, the #NeuralNetworks used in language models, can be designed to perfectly learn relationships between sequences of data.
Albert's results help to explain why transformers are so effective at capturing complex patterns, providing new mathematical insight into their inner workings.
Slides:
Dave Vetter