activity
20242026
collaborators

5 papers

eess.SY2026

Time-varying optimal control under measurement errors

Patrick Schmidt, Stefan Streif

Solving optimal control problems to determine a stabilizing controller involves a significant computational effort. Time-varying optimal control provides a remedy by designing a tr…

eess.SP2025

A Tutorial to Multirate Extended Kalman Filter Design for Monitoring of Agricultural Anaerobic Digestion Plants

Simon Hellmann, Terrance Wilms, Stefan Streif +1

In many applications of biotechnology, measurements are available at different sampling rates, e.g., due to online sensors and offline lab analysis. Offline measurements typically…

eess.SY2025

Strong nonlinear detectability and moving horizon estimation for nonlinear systems with unknown inputs

Yang Guo, Jaime A. Moreno, Stefan Streif

This paper considers state estimation for general nonlinear discrete-time systems subject to measurement noise and possibly unbounded unknown inputs. To approach this problem, we f…

eess.SY2025

MHE in Output Feedback Control of Uncertain Nonlinear Systems via IQCs

Yang Guo, Stefan Streif

We propose a moving horizon estimation (MHE) scheme for general nonlinear constrained systems with parametric or static nonlinear uncertainties and a predetermined state feedback c…

eess.SY2024

Modularized data-driven approximation of the Koopman operator and generator

Yang Guo, Manuel Schaller, Karl Worthmann +1

Extended Dynamic Mode Decomposition (EDMD) is a widely-used data-driven approach to learn an approximation of the Koopman operator. Consequently, it provides a powerful tool for da…