3 papers
eess.SY2026
Scalable Gaussian Process Regression via Deterministic Trigonometric Features: Uniform Bounds for Safe Model Predictive Control
Julius Jagdt, Johanna Menn, Sebastian Trimpe +2
Learning-based Model Predictive Control (MPC) using Gaussian processes (GPs) is an effective approach for safe control in the presence of model mismatch. High-probability safety gu…
eess.SY2023
Inverse Optimal Control as an Errors-in-Variables Problem
Rahel Rickenbach, Anna Scampicchio, Melanie N. Zeilinger
Inverse optimal control (IOC) is about estimating an unknown objective of interest given its optimal control sequence. However, truly optimal demonstrations are often difficult to…
math.OC2020
Stable and Robust LQR Design via Scenario Approach
Anna Scampicchio, Aleksandr Aravkin, Gianluigi Pillonetto
Linear Quadratic Regulator (LQR) design is one of the most classical optimal control problems, whose well-known solution is an input sequence expressed as a state-feedback. In this…