5 citations · 6 across the 11 of their papers we have counts for
6 papers · 1 filter
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…
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…
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…
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…
Deep Neural Network based Optimal Control of Greenhouses
Kiran Kumar Sathyanarayanan, Philipp Sauerteig, Stefan Streif
Automatic control of greenhouse crop production is of great interest owing to the increasing energy and labor costs. In this work, we use two-level control, where the upper level g…
Comparison of Unscented Kalman Filter Design for Agricultural Anaerobic Digestion Model
Simon Hellmann, Terrance Wilms, Stefan Streif +1
Dynamic operation of biological processes, such as anaerobic digestion (AD), requires reliable process monitoring to guarantee stable operating conditions at all times. Unscented K…