activity
20202026
most citedGrid-Based Stochastic Model Predictive Control for Trajectory Planning in Uncertain Environments

23 citations · 102 across the 18 of their papers we have counts for

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Showing 2023Show all

5 papers · 1 filter

eess.SY2023★ 1 cited

Optimal Control for Indoor Vertical Farms Based on Crop Growth

Annalena Daniels, Michael Fink, Marion Leibold +2

Vertical farming allows for year-round cultivation of a variety of crops, overcoming environmental limitations and ensuring food security. This closed and highly controlled system…

math.OC2023★ 1 cited

Comparison of Dynamic Tomato Growth Models for Optimal Control in Greenhouses

Michael Fink, Annalena Daniels, Cheng Qian +3

As global demand for efficiency in agriculture rises, there is a growing interest in high-precision farming practices. Particularly greenhouses play a critical role in ensuring a y…

eess.SY2023★ 5 cited

An Online Adaptation Strategy for Direct Data-driven Control

Johannes Teutsch, Sebastian Ellmaier, Sebastian Kerz +2

The fundamental lemma from behavioral systems theory yields a data-driven non-parametric system representation that has shown great potential for the data-efficient control of unkn…

eess.SY2023★ 1 cited

Offline Uncertainty Sampling in Data-driven Stochastic MPC

Johannes Teutsch, Sebastian Kerz, Tim Brüdigam +2

In this work, we exploit an offline-sampling based strategy for the constrained data-driven predictive control of an unknown linear system subject to random measurement noise. The…

cs.RO2023

Disturbance Estimation for High-Degree-of-Freedom Euler-Lagrangian Systems Using Sliding Mode Observer without Matching Conditions

Zengjie Zhang, Dirk Wollherr

This paper proposes a novel observer-based disturbance estimation method for high degree-of-freedom Euler-Lagrangian systems using an unknown input-output (UIO) sliding mode observ…