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ORCIDDaniel Görges
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- affiliation: TU Kaiserslautern, Germany
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2020 – today
- 2024
[j20]Yingying Wang
, Wei Wu, Xuyang Lou, Daniel Görges:
Iterative learning control of an Euler-Bernoulli beam with time-varying boundary disturbance. Comput. Math. Appl. 162: 145-154 (2024)- [j19]Christoph Mark, Daniele Ravasio, Marcello Farina, Daniel Görges:
Stochastic MPC for Linear Systems With Unbounded Multiplicative Noise Guaranteeing Closed-Loop Chance Constraints Satisfaction. IEEE Control. Syst. Lett. 8: 2081-2086 (2024) - [c46]Markus Gödker, Steffen Schmees, Lukas Bernhardt, Jan Heidinger, Daniel Görges, Thomas Franke:
Driving Simulation for Energy Efficiency Studies: Analyzing Electric Vehicle Eco-Driving With EcoSimLab and the EcoDrivingTestPark. AutomotiveUI 2024: 32-42 - [c45]Daniel Stümke, Jan Lauble, Simon Peter, Daniel Görges:
Automatic Controller Calibration for Electromechanical Drum Brakes with Safe Bayesian Optimization. CCTA 2024: 40-45 - [c44]Ala'a Alshubbak, Daniel Görges:
Investigation of the Performance of Different Loss Function Types Within Deep Neural Anchor-Free Object Detectors. ICAART (3) 2024: 401-411 - [i5]Jonas Weigand, Gerben Izaak Beintema, Jonas Ulmen, Daniel Görges, Roland Tóth, Maarten Schoukens, Martin Ruskowski:
State Derivative Normalization for Continuous-Time Deep Neural Networks. CoRR abs/2401.02902 (2024) - 2023
- [j18]Ramin Rostami, Daniel Görges:
An ADMM-based algorithm for stabilizing distributed model predictive control without terminal cost and constraint. Eur. J. Control 73: 100881 (2023) - [c43]Anas Abdelkarim, Yanzhao Jia, Daniel Görges:
An Accelerated Interior-Point Method for Convex Optimization Leveraging Backtracking Mitigation. IECON 2023: 1-6 - [c42]Anas Abdelkarim, Yanzhao Jia, Daniel Görges:
Optimization of Vehicle-to-Grid Profiles for Peak Shaving in Microgrids Considering Battery Health. IECON 2023: 1-6 - [c41]Ala'a Alshubbak, Daniel Görges:
A Self-supervised Pose Estimation Approach for Construction Machines. ISVC (2) 2023: 397-408 - [c40]Jonas Ulmen, Marc Wellstein, Christoph Mark, Ganesh Sundaram, Daniel Görges, Jan Reich:
Stochastic MPC with Situation-Aware Dynamic Risk Assessment for Autonomous Driving. ITSC 2023: 3478-3484 - 2022
- [j17]Knut Graichen, Daniel Görges:
Ausgewählte Beiträge des GMA Fachausschusses 1.50. Autom. 70(4): 315-316 (2022) - [j16]Wei Wu, Yifei Ma, Daniel Görges, Xuyang Lou:
Event-triggered feedback control for discrete-time piecewise-affine systems subject to input saturation and bounded disturbance. Int. J. Control 95(7): 1959-1969 (2022) - [j15]Guoqiang Li, Daniel Görges, Meng Wang:
Online Optimization of Gear Shift and Velocity for Eco-Driving Using Adaptive Dynamic Programming. IEEE Trans. Intell. Veh. 7(1): 123-132 (2022) - [c39]Yanzhao Jia, Tawfik Al-Nusairi, Daniel Görges:
Optimized Traffic Lights Management Algorithm with Multiple Information Inputs for Higher Traffic and Energy Efficiency. ITSC 2022: 2614-2619 - [c38]Sai Krishna Chada, Daniel Görges, Achim Ebert, Roman Teutsch, Chin Guang Min:
Learning-Based Driver Behavior Modeling and Delay Compensation to Improve the Efficiency of an Eco-Driving Assistance System. SMC 2022: 415-422 - [i4]Sai Krishna Chada, Daniel Görges, Achim Ebert, Roman Teutsch, Shreevatsa Puttige Subramanyaa:
Evaluation of the Driving Performance and User Acceptance of a Predictive Eco-Driving Assistance System. CoRR abs/2208.11429 (2022) - [i3]Sai Krishna Chada, Daniel Görges, Achim Ebert, Roman Teutsch:
Deep Learning-Based Vehicle Speed Prediction for Ecological Adaptive Cruise Control in Urban and Highway Scenarios. CoRR abs/2212.00149 (2022) - 2021
- [j14]Giuliano Costantini, Daniel Görges:
Fast distributed model predictive control combining ADMM, IPM and Riccati iteration. Autom. 69(2): 97-110 (2021) - [j13]Tobias Peschke, Daniel Görges:
Sequential Multi-Stage and Tube-Based Robust MPC for Constrained Linear Systems With Multiplicative Uncertainty. IEEE Control. Syst. Lett. 5(6): 2150-2155 (2021) - [c37]Tobias Peschke, Daniel Görges:
Sequential Multi-Stage and Tube-based Robust MPC for Constrained Linear Systems with Multiplicative Uncertainty. ACC 2021: 3378-3383 - [c36]Guihai Luo, Daniel Görges:
Optimal Preview Control with Uncertain Preview Information with Application to Active Suspension Systems. CCTA 2021: 277-282 - [c35]Andreas Weißmann, Daniel Görges:
An Empirical Study on Ego Vehicle Trajectory Prediction for Bicycles in Urban Environments Based on Conditional Imitation Learning. ITSC 2021: 1482-1489 - [i2]Sai Krishna Chada, Jitin Mathew Thomas, Daniel Görges, Achim Ebert, Roman Teutsch:
Ecological Adaptive Cruise Control for City Buses based on Hybrid Model Predictive Control using PnG and Traffic Light Information. CoRR abs/2104.08796 (2021) - 2020
- [j12]Guoqiang Li, Daniel Görges, Chaoxu Mu:
Integrated adaptive dynamic programming for data-driven optimal controller design. Neurocomputing 403: 143-152 (2020) - [j11]Xiaohai Lin, Daniel Görges:
Robust Model Predictive Control of Linear Systems With Predictable Disturbance With Application to Multiobjective Adaptive Cruise Control. IEEE Trans. Control. Syst. Technol. 28(4): 1460-1475 (2020) - [j10]Guoqiang Li, Daniel Görges:
Ecological Adaptive Cruise Control for Vehicles With Step-Gear Transmission Based on Reinforcement Learning. IEEE Trans. Intell. Transp. Syst. 21(11): 4895-4905 (2020) - [j9]Yanzhao Jia, Rabee Jibrin, Daniel Görges:
Energy-Optimal Adaptive Cruise Control for Electric Vehicles Based on Linear and Nonlinear Model Predictive Control. IEEE Trans. Veh. Technol. 69(12): 14173-14187 (2020) - [c34]Guihai Luo, Daniel Görges:
Control of Active Suspensions with Pump-Controlled Electro-Hydraulic Actuators under Uncertainties and Constraints using Adaptive Dynamic Programming. AIM 2020: 2054-2061 - [c33]Yanzhao Jia, Daniel Görges:
Energy-Optimal Adaptive Cruise Control based on Hybrid Model Predictive Control with Mixed-Integer Quadratic Programming. ECC 2020: 686-692 - [c32]Yanzhao Jia, Chen Cai, Daniel Görges:
An LSTM-Based Speed Predictor Based on Traffic Simulation Data for Improving the Performance of Energy-Optimal Adaptive Cruise Control. ITSC 2020: 1-7 - [e1]Karsten Berns, Daniel Görges:
Advances in Service and Industrial Robotics - Proceedings of the 28th International Conference on Robotics in Alpe-Adria-Danube Region, RAAD 2019, Kaiserslautern, Germany, June 19-21, 2019. Advances in Intelligent Systems and Computing 980, Springer 2020, ISBN 978-3-030-19647-9 [contents]
2010 – 2019
- 2019
- [j8]Guoqiang Li, Daniel Görges:
Energy management strategy for parallel hybrid electric vehicles based on approximate dynamic programming and velocity forecast. J. Frankl. Inst. 356(16): 9502-9523 (2019) - [j7]Guoqiang Li, Daniel Görges:
Ecological Adaptive Cruise Control and Energy Management Strategy for Hybrid Electric Vehicles Based on Heuristic Dynamic Programming. IEEE Trans. Intell. Transp. Syst. 20(9): 3526-3535 (2019) - [j6]Guoqiang Li, Daniel Görges:
Fuel-Efficient Gear Shift and Power Split Strategy for Parallel HEVs Based on Heuristic Dynamic Programming and Neural Networks. IEEE Trans. Veh. Technol. 68(10): 9519-9528 (2019) - [c31]Thomas Franke, Daniel Görges, Matthias G. Arend:
The Energy Interface Challenge. Towards Designing Effective Energy Efficiency Interfaces for Electric Vehicles. AutomotiveUI 2019: 35-48 - [c30]Guihai Luo, Daniel Görges:
Modeling and Adaptive Robust Force Control of a Pump-Controlled Electro-Hydraulic Actuator for an Active Suspension System. CCTA 2019: 592-597 - [c29]Tobias Peschke, Daniel Görges:
Robust Tube-Based Tracking MPC for Linear Systems with Multiplicative Uncertainty. CDC 2019: 457-462 - [c28]Dimitri Morgenstern, Daniel Görges, Andreas Wirsen:
Obtaining a Stabilizing Prediction Horizon in Quadratic Programming Model Predictive Control. CDC 2019: 463-467 - [c27]Ramin Rostami, Giuliano Costantini, Daniel Görges:
Stabilizing Distributed Model Predictive Control using the Consensus Form of ADMM. CDC 2019: 5635-5640 - [c26]Giuliano Costantini, Ramin Rostami, Daniel Görges:
Fast Separable Terminal Cost Synthesis for Distributed MPC. ECC 2019: 313-318 - [c25]Silas Klug, Alessandro Moia, Armin Verhagen, Daniel Görges, Sergio M. Savaresi:
Modeling of Coupled Vertical and Longitudinal Dynamics of Bicycles for Brake and Suspension Control. IV 2019: 2018-2024 - [c24]Silas Klug, Alessandro Moia, Armin Verhagen, Daniel Görges, Sergio M. Savaresi:
Semi-Active Suspension Control on Bicycles: Anti-Dive during Road Excitation. IV 2019: 2032-2038 - [c23]Giuliano Costantini, Ramin Rostami, Daniel Görges:
Online Trajectory Planning and Collision Avoidance for a Group of Robots Using Distributed Model Predictive Control. RAAD 2019: 240-249 - 2018
- [c22]Giuliano Costantini, Ramin Rostami, Daniel Görges:
Decomposition Methods for Distributed Quadratic Programming with Application to Distributed Model Predictive Control. Allerton 2018: 943-950 - [c21]Tobias Peschke, Philipp Munch, Daniel Görges:
Model Predictive Control of Self-Propelled Work Machines with Spatial Disturbance Preview. ACC 2018: 2928-2933 - [c20]Ramin Rostami, Giuliano Costantini, Daniel Görges:
Communication Reduction in Stabilizing Distributed Model Predictive Control. CDC 2018: 5164-5169 - [c19]Giuliano Costantini, Ramin Rostami, Daniel Görges:
Distributed Linear Quadratic Regulator for the Synthesis of a Separable Terminal Cost for Distributed Model Predictive Control. CDC 2018: 5170-5175 - [c18]Dauer Felix, Daniel Görges, Andreas Wienss:
Experimental Analysis of Sensor Requirements for eBike Rider Assistance Systems. ICVES 2018: 1-6 - 2017
- [c17]Silas Klug, Alessandro Moia, Armin Verhagen, Daniel Görges, Sergio M. Savaresi:
Control-Oriented modeling and validation of bicycle curve dynamics with focus on lateral tire parameters. CCTA 2017: 86-93 - [c16]Tobias Lepold, Daniel Görges:
Energy management system for charging stations with regenerative supply and battery storage based on hybrid model predictive control. CCTA 2017: 799-805 - [c15]Ramin Rostami, Giuliano Costantini, Daniel Görges:
ADMM-based distributed model predictive control: Primal and dual approaches. CDC 2017: 6598-6603 - [i1]Raja Sattiraju, Pratip Chakraborty, Hans D. Schotten, Xiaohai Lin, Daniel Görges:
Cyber-Automotive Simulation and Evaluation Platform for Vehicular Value Added Services. CoRR abs/1710.11564 (2017) - 2016
- [c14]Markus Bell, Simon Fuchs, Felix Berkel, Steven Liu, Daniel Görges:
A privacy preserving negotiation-based control scheme for low voltage grids. ISIE 2016: 678-683 - 2015
- [j5]Sanad Al-Areqi, Daniel Görges, Steven Liu:
Event-based networked control and scheduling codesign with guaranteed performance. Autom. 57: 128-134 (2015) - [j4]Sanad Al-Areqi, Daniel Görges, Steven Liu:
Event-Based Control and Scheduling Codesign: Stochastic and Robust Approaches. IEEE Trans. Autom. Control. 60(5): 1291-1303 (2015) - [j3]Wei Wu, Sven Reimann, Daniel Görges, Steven Liu:
Suboptimal Event-Triggered Control for Time-Delayed Linear Systems. IEEE Trans. Autom. Control. 60(5): 1386-1391 (2015) - [c13]Sanad Al-Areqi, Daniel Görges, Steven Liu:
Event-based control and scheduling codesign subject to input and state constraints. ECC 2015: 1866-1871 - 2014
- [c12]Xiaohai Lin, Daniel Görges, Steven Liu:
Eco-driving assistance system for electric vehicles based on speed profile optimization. CCA 2014: 629-634 - [c11]Jing Lu, Felix Berkel, Tim Nagel, Daniel Görges, Steven Liu:
Integrated energy and parking management for parking areas with electric vehicles. CCA 2014: 1924-1929 - [c10]Sanad Al-Areqi, Daniel Görges, Steven Liu:
Stochastic event-based control and scheduling of large-scale networked control systems. ECC 2014: 2316-2321 - 2013
- [j2]Fabian Kennel, Daniel Görges, Steven Liu:
Energy Management for Smart Grids With Electric Vehicles Based on Hierarchical MPC. IEEE Trans. Ind. Informatics 9(3): 1528-1537 (2013) - [c9]Sanad Al-Areqi, Daniel Görges, Sven Reimann, Steven Liu:
Event-based control and scheduling codesign of networked embedded control systems. ACC 2013: 5299-5304 - [c8]Felix Berkel, Daniel Görges, Steven Liu:
Load-frequency control, economic dispatch and unit commitment in smart microgrids based on hierarchical model predictive control. CDC 2013: 2326-2333 - [c7]Ireneus Wior, Mohsen Mirza Aligoudarzi, Alexander Fay, Daniel Görges, Steven Liu:
Control design for nodes in decentralized traffic networks with delayed traffic information. ETFA 2013: 1-6 - 2012
- [c6]Sanad Al-Areqi, Daniel Görges, Steven Liu:
Robust Feedback Control and Scheduling of Networked Embedded Control Systems. ADHS 2012: 127-132 - [c5]Sanad Al-Areqi, Daniel Görges, Steven Liu:
Receding-horizon control and scheduling of systems with uncertain computation and communication delays. CDC 2012: 2654-2659 - 2011
- [j1]Daniel Görges, Michal Izak, Steven Liu:
Optimal Control and Scheduling of Switched Systems. IEEE Trans. Autom. Control. 56(1): 135-140 (2011) - [c4]Sanad Al-Areqi, Daniel Görges, Steven Liu:
Robust control and scheduling codesign for networked embedded control systems. CDC/ECC 2011: 3154-3159 - 2010
- [c3]Stefan Simon, Daniel Görges, Michal Izak, Steven Liu:
Periodic observer design for networked embedded control systems. ACC 2010: 4253-4258
2000 – 2009
- 2009
- [c2]Daniel Görges, Michal Izak, Steven Liu:
Optimal control and scheduling of networked control systems. CDC 2009: 5839-5844 - 2007
- [c1]Daniel Görges, Michal Izak, Steven Liu:
Optimal control of systems with resource constraints. CDC 2007: 1070-1075
Coauthor Index
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