NVH Optimization of Range Extender Engines by Electric Torque Profile Shaping. - Jakob Andert; Konrad Herold; Rene Savelsberg; Martin Pischinger (IEEE Trans. Control. Syst. Technol., 2017)

The distributed co-simulation protocol for the integration of real-time systems and simulation environments. - Martin Krammer; Martin Benedikt; Torsten Blochwitz; Khaled Alekeish; Nicolas Amringer; Christian Kater; Stefan Materne; Roberto Ruvalcaba; Klaus Schuch; Josef Zehetner; Micha Damm-Norwig; Viktor Schreiber; et al. (SummerSim, 2018)

A Driveability Study on Automated Longitudinal Vehicle Control. - Christian Sohn; Jakob Andert; Rodrigue N. Nanfah Manfouo (IEEE Trans. Intell. Transp. Syst., 2020)

An Analysis of the Tradeoff Between Fuel Consumption and Ride Comfort for the Pulse and Glide Driving Strategy. - Christian Sohn; Jakob Andert; Dejan Jolovic (IEEE Trans. Veh. Technol., 2020)

Accurate physics-based modeling of electric vehicle energy consumption in the SUMO traffic microsimulator. - Lucas Koch; Dominik S. Buse; Marius Wegener; Sven Schoenberg; Kevin Badalian; Falko Dressler; Jakob Andert (ITSC, 2021)

Feature-driven systems engineering procedure for standardized product-line development. - Christian Granrath; Christopher Kugler; Sebastian Silberg; Max-Arno Meyer; Philipp Orth; Johannes Richenhagen; Jakob Andert (Syst. Eng., 2021)

Closed-loop platoon simulation with cooperative intelligent transportation systems based on vehicle-to-X communication. - Max-Arno Meyer; Christian Granrath; Günter Feyerl; Johannes Richenhagen; Jakob Kaths; Jakob Andert (Simul. Model. Pract. Theory, 2021)

Nonlinear Model Predictive Control of Mild Hybrid Powertrains With Electric Supercharging. - Philip Griefnow; Moritz Jakoby; Lorenz Dörschel; Jakob Andert (IEEE Trans. Veh. Technol., 2021)

Toward Smart Vehicle-to-Everything-Connected Powertrains: Driving Real Component Test Benches in a Fully Interactive Virtual Smart City. - Markus Eisenbarth; Marius Wegener; Rene Scheer; Jakob Andert; Dominik S. Buse; Florian Klingler; Christoph Sommer 001; Falko Dressler; Peter Reinold; Rafael Gries (IEEE Veh. Technol. Mag., 2021)

Estimation of the Magnet Temperature via a Lumped Parameter Thermal Network in Real Time for the Control of PMSM. - Anna I. Ramones; Christian Monissen; Zixuan Wang; Jakob Andert (ECC, 2022)

Scenario- and Model-Based Systems Engineering Procedure for the SOTIF-Compliant Design of Automated Driving Functions. - Max-Arno Meyer; Sebastian Silberg; Christian Granrath; Christopher Kugler; Louis Wachtmeister; Bernhard Rumpe; Sébastien Christiaens; Jakob Andert (IV, 2022)

Integration of Deep Learning and Nonlinear Model Predictive Control for Emission Reduction of Compression Ignition Combustion Engines: A Simulation Study. - Armin Norouzi; Saeid Shahpouri; David C. Gordon; Alexander Winkler; Eugen Nuss; Dirk Abel; Jakob Andert; Mahdi Shahbakhti; Charles Robert Koch (CoRR, 2022)

Introducing a Deep Neural Network-based Model Predictive Control Framework for Rapid Controller Implementation. - David C. Gordon; Alexander Winkler; Julian Bedei; Patrick Schaber; Jakob Andert; Charles Robert Koch (CoRR, 2023)

Transfer of Reinforcement Learning-Based Controllers from Model- to Hardware-in-the-Loop. - Mario Picerno; Lucas Koch; Kevin Badalian; Marius Wegener; Joschka Schaub; Charles Robert Koch; Jakob Andert (CoRR, 2023)

Automated function development for emission control with deep reinforcement learning. - Lucas Koch; Mario Picerno; Kevin Badalian; Sung-Yong Lee; Jakob Andert (Eng. Appl. Artif. Intell., 2023)

Longitudinal Vehicle Motion Prediction in Urban Settings With Traffic Light Interaction. - Marius Wegener; Florian Herrmann; Lucas Koch; Rene Savelsberg; Jakob Andert (IEEE Trans. Intell. Veh., 2023)

The "Waterfilling Algorithm" - An Efficient Approach for Vehicle Velocity Planning With Varying Velocity Limits. - Christian Sohn; Jakob Andert (IEEE Trans. Intell. Transp. Syst., 2023)

Adaptive Traffic Light Control With Deep Reinforcement Learning: An Evaluation of Traffic Flow and Energy Consumption. - Lucas Koch; Tobias Brinkmann; Marius Wegener; Kevin Badalian; Jakob Andert (IEEE Trans. Intell. Transp. Syst., 2023)

Introducing a Deep Neural Network-Based Model Predictive Control Framework for Rapid Controller Implementation. - David C. Gordon; Alexander Winkler; Julian Bedei; Patrick Schaber; Stefan Pischinger; Jakob Andert; Charles Robert Koch (ACC, 2024)

LExCI: A framework for reinforcement learning with embedded systems. - Kevin Badalian; Lucas Koch; Tobias Brinkmann; Mario Picerno; Marius Wegener; Sung-Yong Lee; Jakob Andert (Appl. Intell., 2024)

Safe Reinforcement Learning for Real-World Engine Control. - Julian Bedei; Lucas Koch; Kevin Badalian; Alexander Winkler; Patrick Schaber; Jakob Andert (CoRR, 2025)

Safe Reinforcement Learning-based Control for Hydrogen Diesel Dual-Fuel Engines. - Vasu Sharma; Alexander Winkler; Armin Norouzi; Jakob Andert; David C. Gordon; Hongsheng Guo (CoRR, 2025)

Incorporating a Deep Neural Network into Moving Horizon Estimation for Embedded Thermal Torque Derating of an Electric Machine. - Alexander Winkler; Pranav Shah; Katrin Baumgärtner; Vasu Sharma; David C. Gordon; Jakob Andert (CoRR, 2025)

Hybrid Reinforcement Learning and Model Predictive Control for Adaptive Control of Hydrogen-Diesel Dual-Fuel Combustion. - Julian Bedei; Murray McBain; Charles Robert Koch; Jakob Andert; David C. Gordon (CoRR, 2025)

Machine-readable specification and intelligent cloud-based execution of logical test cases for automated driving functions. - Max-Arno Meyer; Mehdi Zouari; Sebastian Bannenberg; Markus Deppe; Sébastien Christiaens; Sung-Yong Lee; Jakob Andert (Autom. Softw. Eng., 2025)

Transfer of Reinforcement Learning-Based Powertrain Controllers From Model- to Hardware-in-the-Loop. - Mario Picerno; Lucas Koch; Kevin Badalian; Marius Wegener; Joschka Schaub; Charles Robert Koch; Jakob Andert (IEEE Trans. Veh. Technol., 2025)