eess.SY · 2026-07-20 · No. 59

Systems and Control, 2026-07-20.

2 new papers in eess.SY. Titles, authors, abstracts. Links to arXiv. Want this in your inbox every morning? Subscribe →

01 — The papers

2 entries
  1. 01

    Pick-to-Learn Calibration of an MPC Policy for an Origin-to-Destination Flight Problem

    Marco C. Campi, Simone Garatti

    eess.SY · cs.LG · math.OC

    This paper illustrates the Pick-to-Learn methodology applied to the calibration of a Model Predictive Control policy. While developed around a specific example, the presentation is meant to highlight a methodology of broad applicability. The example concerns an aircraft traveling from an origin point to a destination point in the presence of uncertain crosswinds and a low-connectivity zone that should be avoided. The MPC policy is...

    arxiv.org/abs/2607.16084 · PDF

  2. 02

    Robustness of Reinforcement Learning-Based Congestion Management in Low-Voltage Grids

    Josef Hoppe, Sarra Bouchkati, Farah Nasr, Jonathan Krapp, Alexander Och, Maximilian Wirth, Jan Schiefelbein-Lach,...

    eess.SY · cs.AI

    Increases in photovoltaic generation, charging of electric vehicles and heat-pump demand challenge operating limits in low-voltage distribution grids. This requires curative curtailment methods that can operate under sparse observability, noisy measurements, and imperfect grid models. Unlike prior end-to-end reinforcement-learning approaches for partially observable curtailment, this work decouples congestion detection and control by...

    arxiv.org/abs/2607.16004 · PDF

This edition is part of The Daily Abstract — eess.SY archive. Subscribe to receive these in your inbox each morning, automatically translated to Spanish, with reply-to-PDF: arxivdaily.ignorelist.com.

Colophon Set in Georgia, with system sans for interface chrome and a monospaced stack for code and paper identifiers. Sole accent: amber #D99C5E. Built and served on an always-free VM. The masthead is set 14% letterspaced because newspapers do that and it works.