Symposium on Systems Theory in Data and Optimization

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



Spotlight talks

Selected contributions will be presented in spotlight talk sessions as oral presentations. The talks will be grouped in topical sessions and their duration will be 15 minutes each (excluding Q&A). 

Spotlight talk session 1: Learning (Mo 10:30 – 12:30)

  1. PACSBO: Probably approximately correct safe Bayesian optimization Tokmak, Schön, Baumann
  2. Wiener Chaos in Kernel Regression Faulwasser, Molodchyk
  3. A universal reproducing kernel Hilbert space for learning nonlinear systems operators Lazar
  4. On Robust Reinforcement Learning with Lipschitz-Bounded Policy Networks Barbara, Manchester, Wang
  5. Value of Communication: Data-Driven Topology Optimization for Distributed Linear Cyber-Physical Systems Nestor, Teng
  6. Solving Partial Differential Equations with Equivariant Extreme Learning Machines Harder, Rabault, Vinuesa, Mortensen, Peitz

Spotlight talk session 2: Optimization-based control (Tu 11:30 – 12:30)

  1. Accelerating Multi-Objective Model Predictive Control Using High-Order Sensitivity Information Herrmann-Wicklmayr, Flaßkamp
  2. On discount functions for economic model predictive control without terminal conditions Schwenkel, Briem, Müller, Allgöwer
  3. Multi-parametric programming with constraint relaxation for the optimal operation of micro-grids integrating renewables Bianchi, Falsone, Prandini

Spotlight talk session 3: Optimization (Tu 14:00 – 15:00)

  1. Optimal Dynamic Pricing in Energy Markets: A Stackelberg Game Approach Grontas, Fochesato, Cenedese, Belgioioso, Dörfler, Lygeros
  2. Distributed Newton Optimization with ADMM-Based Consensus Carnevale, Bastianello, Notarstefano, Carli
  3. Inexactness in Bilevel Nonlinear Optimization: A Gradient-free Newton's Method Approach Cunis, Kolmanovsky