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20232026
most citedExploring the Links between the Fundamental Lemma and Kernel Regression

8 citations · 9 across the 15 of their papers we have counts for

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eess.SY2026

Fast Risk Certification of Candidate Trajectories under Uncertain Time-Varying Constraints

Srimanta Santra, Oleksii Molodchyk, Matti Noack +1

This paper studies the certification of a fixed candidate trajectory on a finite certification grid under parametric uncertainty. For each constraint-time pair, we define a scalar…

eess.SY2026

Uncertainty Propagation under Residual Disturbances: A Smart-Home Case Study

Guanru Pan, Dirk Reinhardt, Sebastien Gros +1

This paper presents a data-driven framework for uncertainty propagation under unmeasured or statistically unmodeled (unstructured) disturbances. We consider residual disturbances,…

eess.SY2026

Towards Closed-loop Stability of Nonlinear Receding Horizon Games

Sophie Hall, Florian Dörfler, Timm Faulwasser

We analyze Receding Horizon Games without any MPC-like terminal ingredients. We show that recursive feasibility can be inferred from the turnpike phenomenon under mild assumptions.…

eess.SY2026

Data-Driven Power Flow for Radial Distribution Networks with Sparse Real-Time Data

Oleksii Molodchyk, Omid Mokhtari, Samuel Chevalier +2

Real-time control of distribution networks requires accurate information about the system state. In practice, however, such information is difficult to obtain because real-time mea…

eess.SY2025

Towards Stochastic (N-1)-Secure Redispatch

Oleksii Molodchyk, Hendrik Drögehorn, Martin Lindner +2

The intermittent nature of renewable power availability is one of the major sources of uncertainty in power systems. While markets can guarantee that the demand is covered by the a…

eess.SY2025

Towards Data-Driven Multi-Stage OPF

Oleksii Molodchyk, Philipp Schmitz, Alexander Engelmann +2

The operation of large-scale power systems is usually scheduled ahead via numerical optimization. However, this requires models of grid topology, line parameters, and bus specifica…

eess.SY2024★ 8 cited

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…