Jonathan Brembeck

29 papers B 7C 4Journal 9Unranked 9

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	A Nonlinear Control Allocation Strategy for Dual Half Bridge Power Converters. IEEE Trans Autom. Sci. Eng. Ricardo de Castro, Rui Esteves Araujo, Jonathan Brembeck
2025	—	`conf`	Predictive Safeguarding and Performance Monitoring for Learning-Based Vehicle Motion Controllers. ITSC Kenan Ahmic, Johannes Ultsch, Jonathan Brembeck, Darius Burschka
2025	J	`jnl`	train_fmu_gym: A Functional Mock-up Unit-Based Framework to Train Reinforcement Learning Agents for Multi-Physical Systems. IEEE Access Johannes Ultsch, Kenan Ahmic, Jonathan Brembeck
2024	C	`conf`	Feature and Extrapolation Aware Uncertainty Quantification for AI-based State Estimation in Automated Driving. IV Daniel Pölzleitner, Julian Ruggaber, Jonathan Brembeck
2024	—	`conf`	Micro AI-For-Mobility - Research Platform for AI-Based Control Methods. VTC Fall Daniel Diegel, Daniel Pölzleitner, Daniel Baumgartner, Jonathan Brembeck
2024	—	`conf`	Multi-Agent Reinforcement Learning for Cooperative Vehicle Motion Control. ITSC Kenan Ahmic, Johannes Ultsch, Jonathan Brembeck, Darius Burschka
2023	—	`conf`	Closing the Sim-to-Real Gap with Physics-Enhanced Neural ODEs. ICINCO (2) Tobias Kamp, Johannes Ultsch, Jonathan Brembeck
2022	J	`jnl`	Implementation of a C Library of Kalman Filters for Application on Embedded Systems. Comput. Christina Schreppel, Andreas Pfeiffer, Julian Ruggaber, Jonathan Brembeck
2021	J	`jnl`	A Novel Kalman Filter Design and Analysis Method Considering Observability and Dominance Properties of Measurands Applied to Vehicle State Estimation. Sensors Julian Ruggaber, Jonathan Brembeck
2020	J	`jnl`	A QP Solver Implementation for Embedded Systems Applied to Control Allocation. Comput. Christina Schreppel, Jonathan Brembeck
2020	—	`conf`	Recent Research on Automotive Control at DLR Institute of System Dynamics and Control - An Overview. MED 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, Jakub Tobolár, Johannes Ultsch, Christoph Winter
2020	C	`conf`	Reinforcement Learning-based Path Following Control for a Vehicle with Variable Delay in the Drivetrain. IV Johannes Ultsch, Jonas Mirwald, Jonathan Brembeck, Ricardo Pinto de Castro
2019	J	`jnl`	A Physical Model-Based Observer Framework for Nonlinear Constrained State Estimation Applied to Battery State Estimation. Sensors Jonathan Brembeck
2019	—	`conf`	Cascaded Trajectory Tracking Control for Automated Vehicles. VTC Fall Ricardo Pinto de Castro, Jonathan Brembeck
2019	J	`jnl`	Design and Experimental Assessment of an Active Fault-Tolerant LPV Vertical Dynamics Controller. IEEE Trans. Control. Syst. Technol. Michael Fleps-Dezasse, Ferdinand Svaricek, Jonathan Brembeck
2019	C	`conf`	Lyapunov-based Control Allocation for Over-actuated Nonlinear Systems. ACC Ricardo Pinto de Castro, Jonathan Brembeck
2019	J	`jnl`	Nonlinear Constrained Moving Horizon Estimation Applied to Vehicle Position Estimation. Sensors Jonathan Brembeck
2018	—	`conf`	Supervised Trajectory Tracking Control. ITSC Ricardo Pinto de Castro, Jonathan Brembeck
2017	B	`conf`	A command governor approach for platooning applications. Intelligent Vehicles Symposium Ricardo Pinto de Castro, Jonathan Brembeck
2017	—	`conf`	Model Based Design of a Split Carrier Wheel Suspension for Light-weight Vehicles. Modelica Jakub Tobolár, Daniel Baumgartner, Yutaka Hirano, Tilman Bünte, Michael Fleps-Dezasse, Jonathan Brembeck
2016	B	`conf`	Design and validation of an MPC-based torque blending and wheel slip control strategy. Intelligent Vehicles Symposium Clemens Satzger, Ricardo Pinto de Castro, Andreas Knoblach, Jonathan Brembeck
2016	C	`conf`	Experimental evaluation of Linear Parameter-Varying semi-active suspension control. CCA Michael Fleps-Dezasse, Mahmoud M. Ahmed, Jonathan Brembeck, Ferdinand Svaricek
2016	—	`conf`	Experimental investigation of online path planning for electric vehicles. ITSC Christoph Winter, Peter Ritzer, Jonathan Brembeck
2016	B	`conf`	Experimental validation of geometric path following control with demand supervision on an over-actuated robotic vehicle. Intelligent Vehicles Symposium Peter Ritzer, Christoph Winter, Jonathan Brembeck
2015	B	`conf`	Advanced path following control of an overactuated robotic vehicle. Intelligent Vehicles Symposium Peter Ritzer, Christoph Winter, Jonathan Brembeck
2014	B	`conf`	Real-time capable path planning for energy management systems in future vehicle architectures. Intelligent Vehicles Symposium Jonathan Brembeck, Christoph Winter
2013	J	`jnl`	Modellbasierte Regelungsansätze für überaktuierte planetare Rover und robotische Elektromobile. Autom. Rainer Krenn, Johannes Köppern, Tilman Bünte, Jonathan Brembeck, Andreas Gibbesch, Johann Bals
2012	B	`conf`	Energy optimal control of an over actuated Robotic Electric Vehicle using enhanced control allocation approaches. Intelligent Vehicles Symposium Jonathan Brembeck, Peter Ritzer
2011	B	`conf`	Human machine interface concept for interactive motion control of a highly maneuverable robotic vehicle. Intelligent Vehicles Symposium Tilman Bünte, Jonathan Brembeck, Lok Man Ho