13 papers
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…
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,…
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.…
On Uniform Error Bounds for Kernel Regression under Non-Gaussian Noise
Johannes Teutsch, Oleksii Molodchyk, Marion Leibold +2
Providing non-conservative uncertainty quantification for function estimates derived from noisy observations remains a fundamental challenge in statistical machine learning, partic…
Towards grid-aware multi-period flexibility aggregation - A constrained zonotope approach
Maurice Raetsch, MaÃsa Beraldo Bandeira, Christian Rehtanz +2
Aggregation schemes provide a means to reduce the computational complexity of power system operation by reducing the number of devices that are considered individually. This can be…
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…