Distributed decision making for task switching via a consensus-like algorithm. - Jay Wagenpfeil; Adrian Trachte; Takeshi Hatanaka; Masayuki Fujita; Oliver Sawodny (ACC, 2009)

A distributed minimum restrictive connectivity maintenance algorithm. - Jay Wagenpfeil; Adrian Trachte; Takeshi Hatanaka; Masayuki Fujita; Oliver Sawodny (SyRoCo, 2009)

Hardware-in-the-Loop Simulation von Hydraulikventilen mit virtuellen Verbrauchern. - Adrian Trachte; Andreas Albrecht (Autom., 2012)

Torque Control of a Hydrostatic Transmission Applied to a Wheel Loader. - Patrik Zips; Amadeus Lobe; Adrian Trachte; Andreas Kugi (CDC, 2019)

Multi-Dimensional Control Performance Assessment for Mechatronic Closed-Loop Systems. - Johannes Huemer; Markus Gurtner; Patrik Zips; Adrian Trachte; Andreas Kugi (ECC, 2021)

Hybrid Data-Driven Modelling for Inverse Control of Hydraulic Excavators. - Jonas Weigand; Julian Raible; Nico Zantopp; Ozan Demir; Adrian Trachte; Achim Wagner; Martin Ruskowski (IROS, 2021)

Data-Driven Feed-Forward Control of Hydraulic Cylinders using Gaussian Process Regression for Excavator Assistance Functions. - Georg Rabenstein; Ozan Demir; Adrian Trachte; Knut Graichen (CCTA, 2022)

A Computationally Efficient System Level Parametrization for Robust Model Predictive Control. - Thilo Herold; Felix Berkel; Adrian Trachte; Thomas Specker (ECC, 2022)

Application of Monte Carlo Method for Probabilistic Robust Control Performance Assessment. - Markus Gurtner; Patrik Zips; Adrian Trachte; Andreas Kugi (ICSRS, 2022)

Design and Application of Safety Filters to Secure Controllers in Autonomous Driving. - Pascal Jaufmann; Adrian Trachte; Felix Berkel; Thomas Specker; Oliver Sawodny (ACC, 2023)

Safe Active Learning and Probabilistic Design of Experiment for Autonomous Hydraulic Excavators. - Maximilian Dio; Ozan Demir; Adrian Trachte; Knut Graichen (IROS, 2023)

Real-time prediction of human-generated reference signals for advanced digging control. - Leonardo Cecchin; Adrian Trachte; Lorenzo Fagiano; Moritz Diehl (CASE, 2024)

Combining Federated Learning and Control: A Survey. - Jakob Weber; Markus Gurtner; Amadeus Lobe; Adrian Trachte; Andreas Kugi (CoRR, 2024)

Federated Learning for Privacy-Preserving Feedforward Control in Multi-Agent Systems. - Jakob Weber; Markus Gurtner; Benedikt Alt; Adrian Trachte; Andreas Kugi (CoRR, 2025)