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From the 1 of 6 linked papers with an AI index.

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6 papers

math.OC2026

On the Boundary of the Robust Admissible Set in State and Input Constrained Nonlinear Systems

Franz Rußwurm, Jean Lévine, Stefan Streif

The paper defines and analyzes the boundary of the robust admissible set for nonlinear systems with state and input constraints under bounded disturbances, using Pontryagin's maxim…

cs.AI2026

Hierarchical Causal Abduction: A Foundation Framework for Explainable Model Predictive Control

Ramesh Arvind Naagarajan, Zühal Wagner, Stefan Streif

Model Predictive Control (MPC) is widely used to operate safety-critical infrastructure by predicting future trajectories and optimizing control actions. However, nonlinear dynamic…

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.SP2026

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…