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Journal Articles
- 2022
[j7]Christina Schreppel, Andreas Pfeiffer, Julian Ruggaber
, Jonathan Brembeck:
Implementation of a C Library of Kalman Filters for Application on Embedded Systems. Comput. 11(11): 165 (2022)- 2021
- [j6]Julian Ruggaber, Jonathan Brembeck:
A Novel Kalman Filter Design and Analysis Method Considering Observability and Dominance Properties of Measurands Applied to Vehicle State Estimation. Sensors 21(14): 4750 (2021) - 2020
- [j5]Christina Schreppel, Jonathan Brembeck:
A QP Solver Implementation for Embedded Systems Applied to Control Allocation. Comput. 8(4): 88 (2020) - 2019
- [j4]Jonathan Brembeck:
Nonlinear Constrained Moving Horizon Estimation Applied to Vehicle Position Estimation. Sensors 19(10): 2276 (2019) - [j3]Jonathan Brembeck:
A Physical Model-Based Observer Framework for Nonlinear Constrained State Estimation Applied to Battery State Estimation. Sensors 19(20): 4402 (2019) - [j2]Michael Fleps-Dezasse, Ferdinand Svaricek, Jonathan Brembeck:
Design and Experimental Assessment of an Active Fault-Tolerant LPV Vertical Dynamics Controller. IEEE Trans. Control. Syst. Technol. 27(3): 1267-1274 (2019) - 2013
- [j1]Rainer Krenn, Johannes Köppern, Tilman Bünte, Jonathan Brembeck, Andreas Gibbesch, Johann Bals:
Modellbasierte Regelungsansätze für überaktuierte planetare Rover und robotische Elektromobile. Autom. 61(3): 183-194 (2013)
Conference and Workshop Papers
- 2024
- [c18]Daniel Pölzleitner, Julian Ruggaber, Jonathan Brembeck:
Feature and Extrapolation Aware Uncertainty Quantification for AI-based State Estimation in Automated Driving. IV 2024: 2756-2762 - [c17]Daniel Diegel, Daniel Pölzleitner, Daniel Baumgartner, Jonathan Brembeck:
Micro AI-For-Mobility - Research Platform for AI-Based Control Methods. VTC Fall 2024: 1-7 - 2023
- [c16]Tobias Kamp, Johannes Ultsch, Jonathan Brembeck:
Closing the Sim-to-Real Gap with Physics-Enhanced Neural ODEs. ICINCO (2) 2023: 77-84 - 2020
- [c15]Johannes Ultsch, Jonas Mirwald, Jonathan Brembeck, Ricardo Pinto de Castro:
Reinforcement Learning-based Path Following Control for a Vehicle with Variable Delay in the Drivetrain. IV 2020: 532-539 - [c14]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:
Recent Research on Automotive Control at DLR Institute of System Dynamics and Control - An Overview. MED 2020: 188-193 - 2019
- [c13]Ricardo Pinto de Castro, Jonathan Brembeck:
Lyapunov-based Control Allocation for Over-actuated Nonlinear Systems. ACC 2019: 5033-5038 - [c12]Ricardo Pinto de Castro, Jonathan Brembeck:
Cascaded Trajectory Tracking Control for Automated Vehicles. VTC Fall 2019: 1-5 - 2018
- [c11]Ricardo Pinto de Castro, Jonathan Brembeck:
Supervised Trajectory Tracking Control. ITSC 2018: 951-957 - 2017
- [c10]Ricardo Pinto de Castro, Jonathan Brembeck:
A command governor approach for platooning applications. Intelligent Vehicles Symposium 2017: 978-984 - [c9]Jakub Tobolár, Daniel Baumgartner, Yutaka Hirano, Tilman Bünte, Michael Fleps-Dezasse, Jonathan Brembeck:
Model Based Design of a Split Carrier Wheel Suspension for Light-weight Vehicles. Modelica 2017: 132:048 - 2016
- [c8]Michael Fleps-Dezasse, Mahmoud M. Ahmed, Jonathan Brembeck, Ferdinand Svaricek:
Experimental evaluation of Linear Parameter-Varying semi-active suspension control. CCA 2016: 77-84 - [c7]Christoph Winter, Peter Ritzer, Jonathan Brembeck:
Experimental investigation of online path planning for electric vehicles. ITSC 2016: 1403-1409 - [c6]Clemens Satzger, Ricardo Pinto de Castro, Andreas Knoblach, Jonathan Brembeck:
Design and validation of an MPC-based torque blending and wheel slip control strategy. Intelligent Vehicles Symposium 2016: 514-520 - [c5]Peter Ritzer, Christoph Winter, Jonathan Brembeck:
Experimental validation of geometric path following control with demand supervision on an over-actuated robotic vehicle. Intelligent Vehicles Symposium 2016: 539-545 - 2015
- [c4]Peter Ritzer, Christoph Winter, Jonathan Brembeck:
Advanced path following control of an overactuated robotic vehicle. Intelligent Vehicles Symposium 2015: 1120-1125 - 2014
- [c3]Jonathan Brembeck, Christoph Winter:
Real-time capable path planning for energy management systems in future vehicle architectures. Intelligent Vehicles Symposium 2014: 599-604 - 2012
- [c2]Jonathan Brembeck, Peter Ritzer:
Energy optimal control of an over actuated Robotic Electric Vehicle using enhanced control allocation approaches. Intelligent Vehicles Symposium 2012: 322-327 - 2011
- [c1]Tilman Bünte, Jonathan Brembeck, Lok Man Ho:
Human machine interface concept for interactive motion control of a highly maneuverable robotic vehicle. Intelligent Vehicles Symposium 2011: 1170-1175
Coauthor Index
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