The ITR team has visited the beautiful Rio de Janeiro for the IEEE CDC, and we were excited to share our work throughout the week! 🌎☀️

Max Beier and Nicolas Hoischen presented at the workshop on operator learning, showcasing a unified data-driven framework for learning control-relevant Koopman operators from finite data, enabling accurate forecasting and optimal control.

Francesco Bianchin presented a robust adaptive control approach for linear quadratic games that handles unknown opponent strategies while providing formal robustness and convergence guarantees (arXiv: https://lnkd.in/dM-DEj2k).

Sami Leon Noel Aziz Hanna (PhD candidate at ITR in waiting) and Robert Lefringhausen presented a novel Bayesian method for synthesizing barrier certificates for unknown polynomial systems, based on noisy output measurements and a prior in state-space form (arXiv: https://lnkd.in/dfSKmwkD).

We are thankful for the inspiring discussions and a great week at CDC! 🤝