Spotlight talks

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

Chair: Johannes Köhler

1. PACSBO: Probably Approximately Correct Safe Bayesian Optimization Tokmak, Schön, Baumann
   
2. Wiener Chaos in Kernel Regression: Towards Untangling Aleatoric and Epistemic Uncertainty 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, Wang, Manchester
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)

Chair:  Nicola Bastianello

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)

Chair: Michael Muehlebach

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