Poster session 1: Monday 15:00 – 17:00

1. On uncertainty quantification in the behavioral framework  Alsalti, Barkey, Lopez, Müller
2. Gaussian Process-based Moving Horizon Estimation  Wolff, Lopez, Müller
3. Identification for Control Based on Neural Networks: Approximately Linearizable Models  Thieffry, Hache, Yagoubi, Chevrel
4. Safe Guaranteed Exploration for Non-linear Systems  Prajapat, Köhler, Turchetta, Krause, Zeilinger
5. Sampling-based Stochastic Data-driven Predictive Control under Data Uncertainty Teutsch, Kerz, Wollherr, Leibold
6. A Control Theoretical Approach to Online (Constrained) Optimization Bastianello, Casti, Carli, Zampieri
7. Variance-Informed Model Reference Gaussian Process Regression: Utilizing Variance Information for Control in Nonlinear Systems  Kim
8. Bootstrapping Guarantees: Stability and Performance Analysis for Dynamic Encrypted Control  Schlor, Allgöwer
9. How improving performance may imply losing consistency in event-triggered consensus  Meister, Antunes, Allgöwer
10. Non-parametric IQC Multipliers in Data-Driven Robust Controller Synthesis  Gupta, Karimi
11. A Systems-Theoretic Approach to Event-Based Distributed Learning   Er, Trimpe, Muehlebach
12. Terminal set of nonlinear model predictive control with Koopman operators  Zhang, Feng, Yu, Chen
13. Data Driven Predictive Control for Quadrotor Flight Gedik, Söken
14. Linear parameter-varying predictive control in a direct data-driven setting  Verhoek, Berberich, Haesaert, Abbas, Tóth
15. Limiting Computation Levels in Prioritized Trajectory Planning with Safety Guarantees  Xu, Scheffe, Alrifaee
16. Local Identifiability of Networks with Nonlinear Node Dynamics under Partial Excitation and Measurement Vanelli, Hendrickx
17. Predictive Control for Disturbance Rejection using a Data-Driven Kalman Filter Smith, Abdalmoaty, Yin