Symposium on Systems Theory in Data and Optimization

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



Poster session 3: Wednesday 09:30 – 11:30

  1. Direct data-driven output feedback control of linear MIMO systems Alsalti, Lopez, Müller
  2. Data-Driven Saturated State Feedback Design for Polynomial Systems Using Noisy Data de S. Madeira, Correia
  3. Data-Driven Identification of Attack-free Sensors in Networked Control Systems C. Anand,  Chong, Teixeira
  4. Distributed Model Predictive Control for Cooperation of Nonlinear Agents at Equilibria Koehler, Müller, Allgöwer
  5. The Role of Identification in Data-driven Policy Iteration: A System Theoretic Study Song, Iannelli
  6. Koopman-based Data-driven Robust Control of Nonlinear Systems Using Integral Quadratic Constraints Eyüboglu, Karimi
  7. Investigation of the Influence of Training Data and Methods on the Control Performance of MPC Utilizing Gaussian Processes Diepers, Ahle, Söffker
  8. Control methods for estimating the Lipschitz constant of 2-D convolutional neural networks Pauli, Gramlich, Allgöwer
  9. Closed-Loop Finite-Time Analysis of Suboptimal Online Control Karapetyan, Balta, Iannelli, Lygeros
  10. Online convex optimization for constrained control of nonlinear systems Nonhoff, Köhler, Müller
  11. Automatic nonlinear MPC approximation with closed-loop guarantees Tokmak, Fiedler, Trimpe, Zeilinger, Köhler
  12. Robust Statistical Fault Detection Under Distribution Ambiguity Wan, Xu
  13. Safety in safe Bayesian optimization and its ramifications for control Fiedler, Menn, Trimpe
  14. Stability Certificates for Receding Horizon Games Hall, Liao-McPherson, Belgioioso, Dörfler
  15. Limitations of policy gradient methods in solving the infinite-horizon real-time power flow management problem in microgrids Oulhaj, Garambois, Roucoules
  16. Quantifying Trajectory Safety by the Minimum Data Corruption Needed to Crash Miller, Sznaier