Human machine interface concept for interactive motion control of a highly maneuverable robotic vehicle. - Tilman Bünte; Jonathan Brembeck; Lok Man Ho (Intelligent Vehicles Symposium, 2011)

Energy optimal control of an over actuated Robotic Electric Vehicle using enhanced control allocation approaches. - Jonathan Brembeck; Peter Ritzer (Intelligent Vehicles Symposium, 2012)

Modellbasierte Regelungsansätze für überaktuierte planetare Rover und robotische Elektromobile. - Rainer Krenn; Johannes Köppern; Tilman Bünte; Jonathan Brembeck; Andreas Gibbesch; Johann Bals (Autom., 2013)

Real-time capable path planning for energy management systems in future vehicle architectures. - Jonathan Brembeck; Christoph Winter (Intelligent Vehicles Symposium, 2014)

Advanced path following control of an overactuated robotic vehicle. - Peter Ritzer; Christoph Winter; Jonathan Brembeck (Intelligent Vehicles Symposium, 2015)

Experimental evaluation of Linear Parameter-Varying semi-active suspension control. - Michael Fleps-Dezasse; Mahmoud M. Ahmed; Jonathan Brembeck; Ferdinand Svaricek (CCA, 2016)

Experimental investigation of online path planning for electric vehicles. - Christoph Winter; Peter Ritzer; Jonathan Brembeck (ITSC, 2016)

Experimental validation of geometric path following control with demand supervision on an over-actuated robotic vehicle. - Peter Ritzer; Christoph Winter; Jonathan Brembeck (Intelligent Vehicles Symposium, 2016)

Design and validation of an MPC-based torque blending and wheel slip control strategy. - Clemens Satzger; Ricardo Pinto de Castro; Andreas Knoblach; Jonathan Brembeck (Intelligent Vehicles Symposium, 2016)

A command governor approach for platooning applications. - Ricardo Pinto de Castro; Jonathan Brembeck (Intelligent Vehicles Symposium, 2017)

Model Based Design of a Split Carrier Wheel Suspension for Light-weight Vehicles. - Jakub Tobolár; Daniel Baumgartner; Yutaka Hirano; Tilman Bünte; Michael Fleps-Dezasse; Jonathan Brembeck (Modelica, 2017)

Supervised Trajectory Tracking Control. - Ricardo Pinto de Castro; Jonathan Brembeck (ITSC, 2018)

Lyapunov-based Control Allocation for Over-actuated Nonlinear Systems. - Ricardo Pinto de Castro; Jonathan Brembeck (ACC, 2019)

Cascaded Trajectory Tracking Control for Automated Vehicles. - Ricardo Pinto de Castro; Jonathan Brembeck (VTC Fall, 2019)

Nonlinear Constrained Moving Horizon Estimation Applied to Vehicle Position Estimation. - Jonathan Brembeck (Sensors, 2019)

A Physical Model-Based Observer Framework for Nonlinear Constrained State Estimation Applied to Battery State Estimation. - Jonathan Brembeck (Sensors, 2019)

Design and Experimental Assessment of an Active Fault-Tolerant LPV Vertical Dynamics Controller. - Michael Fleps-Dezasse; Ferdinand Svaricek; Jonathan Brembeck (IEEE Trans. Control. Syst. Technol., 2019)

Reinforcement Learning-based Path Following Control for a Vehicle with Variable Delay in the Drivetrain. - Johannes Ultsch; Jonas Mirwald; Jonathan Brembeck; Ricardo Pinto de Castro (IV, 2020)

Recent Research on Automotive Control at DLR Institute of System Dynamics and Control - An Overview. - Jonathan Brembeck; Johann Bals; Daniel Baumgartner; Tobias Bellmann; Caspar Bieri; Tilman Bünte; Jonas Mirwald; Andreas Pfeiffer; Ricardo Pinto de Castro; Martin Otter; Julian Ruggaber; Christina Schreppel; et al. (MED, 2020)

A QP Solver Implementation for Embedded Systems Applied to Control Allocation. - Christina Schreppel; Jonathan Brembeck (Comput., 2020)

A Novel Kalman Filter Design and Analysis Method Considering Observability and Dominance Properties of Measurands Applied to Vehicle State Estimation. - Julian Ruggaber; Jonathan Brembeck (Sensors, 2021)

Implementation of a C Library of Kalman Filters for Application on Embedded Systems. - Christina Schreppel; Andreas Pfeiffer; Julian Ruggaber; Jonathan Brembeck (Comput., 2022)

Closing the Sim-to-Real Gap with Physics-Enhanced Neural ODEs. - Tobias Kamp; Johannes Ultsch; Jonathan Brembeck (ICINCO (2), 2023)

Multi-Agent Reinforcement Learning for Cooperative Vehicle Motion Control. - Kenan Ahmic; Johannes Ultsch; Jonathan Brembeck; Darius Burschka (ITSC, 2024)

Feature and Extrapolation Aware Uncertainty Quantification for AI-based State Estimation in Automated Driving. - Daniel Pölzleitner; Julian Ruggaber; Jonathan Brembeck (IV, 2024)

Micro AI-For-Mobility - Research Platform for AI-Based Control Methods. - Daniel Diegel; Daniel Pölzleitner; Daniel Baumgartner; Jonathan Brembeck (VTC Fall, 2024)

A Nonlinear Control Allocation Strategy for Dual Half Bridge Power Converters. - Ricardo de Castro; Rui Esteves Araujo; Jonathan Brembeck (IEEE Trans Autom. Sci. Eng., 2025)