Symposium on Systems Theory in Data and Optimization

University of Stuttgart, Germany, Sep 30 – Oct 2, 2024​



Poster session 2: Tuesday 15:00 – 17:00

  1. Synchronization-based Cooperative Distributed Model Predictive Control Beerwerth, Alrifaee
  2. Adaptive Robust L2 Loss Function using Fractional Calculus Kurucu, Kumbasar, Guzelkaya, Eksin
  3. Data-Driven Dynamic Model and Model Reference Control of Inverter Based Resources Marasini, McDonald, Qu, McDermott
  4. Adaptive tracking MPC for nonlinear systems via online linear system identification Strelnikova, Köhler, Berberich
  5. Frequency-domain data-driven fixed-structure H2 and H∞ controller synthesis Schuchert, Gupta, Karimi
  6. Direct Data-Driven Fixed-Structure Output Feedback Controller Design Qin, Karimi
  7. Set-based secure state estimator for linear systems with adversarial attacks on sensors Niazi, Chong, Alanwar, Johansson
  8. Targeted exploration for non-stochastic disturbances Venkatasubramanian, Köhler, Cannon, Allgöwer
  9. Sparse reconstruction of forces, torques and velocity signals for a swimmer in a wake Gushkov, Hoff, Orucevic, Pettersen, Gravdahl
  10. Data-Driven Min-Max MPC for Linear Systems: Robustness and Adaptation Xie, Berberich, Allgöwer
  11. Data-Driven Observability Analysis for Nonlinear Stochastic Systems Massiani, Buisson-Fenet, Solowjow, Di Meglio, Trimpe
  12. Distributed Feedback Optimization of Linear Multi-agent Systems Mehrnoosh, Bianchin
  13. Structured Neural Networks for Learning Surrogate Losses and Stable Dynamics Wang, Manchester
  14. Learning Bounds on Computational Values in Iterative Methods using Reachability Analysis Verma, McInerney, Renson
  15. Control Theoretic Approach to Fine-Tuning and Transfer Learning Bayram, Liu, Belabbas, Başar
  16. Learning to optimize with convergence guarantees using nonlinear system theory Martin, Furieri
  17. Multi-Objective Learning Model Predictive Control Vallon, Nair, Borrelli