8 citations · 9 across the 15 of their papers we have counts for
3 papers · 1 filter
Towards safe Bayesian optimization with Wiener kernel regression
Oleksii Molodchyk, Johannes Teutsch, Timm Faulwasser
Bayesian Optimization (BO) is a data-driven strategy for minimizing/maximizing black-box functions based on probabilistic surrogate models. In the presence of safety constraints, t…
Exploring the Links between the Fundamental Lemma and Kernel Regression
Oleksii Molodchyk, Timm Faulwasser
Generalizations and variations of the fundamental lemma by Willems et al. are an active topic of recent research. In this note, we explore and formalize the links between kernel re…
Decentralized Real-Time Iterations for Distributed NMPC
Gösta Stomberg, Alexander Engelmann, Moritz Diehl +1
This article presents a Real-Time Iteration (RTI) scheme for distributed Nonlinear Model Predictive Control (NMPC). The scheme transfers the well-known RTI approach, a key enabler…