Daniel Görges

101 papers B 2C 13Journal 43Unranked 42

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	2025 Reisensburg conference on fundamentals of networked and cognitive systems in measurement and automation. Autom. Daniel Görges, Klaus-Dieter Sommer
2026	J	`jnl`	A Latent Space Framework for Modeling Transient Engine Emissions Using Joint Embedding Predictive Architectures. CoRR Ganesh Sundaram, Tobias Gehra, Jonas Ulmen, Mirjan Heubaum, Daniel Görges, Michael Günthner
2026	—	`conf`	COM-PACT: COMponent-Aware Pruning for Accelerated Control Tasks in Latent Space Models. SII Ganesh Sundaram, Jonas Ulmen, Amjad Haider, Daniel Görges
2026	J	`jnl`	Component-Aware Pruning Framework for Neural Network Controllers via Gradient-Based Importance Estimation. CoRR Ganesh Sundaram, Jonas Ulmen, Daniel Görges
2026	J	`jnl`	Model compression for neural network controllers: a tutorial survey with a focus on controllers with latent state space. Autom. Ganesh Sundaram, Jonas Ulmen, Daniel Görges
2025	C	`conf`	Activity Recognition for Mechanical Systems with Complex Kinematics. IPAS Ala'a Alshubbak, Daniel Görges
2025	J	`jnl`	Adaptive vibration control for stabilisation of the Euler-Bernoulli beam with an unknown payload. Int. J. Control Yingying Wang, Wei Wu, Xuyang Lou, Daniel Görges
2025	J	`jnl`	Application-Specific Component-Aware Structured Pruning of Deep Neural Networks via Soft Coefficient Optimization. CoRR Ganesh Sundaram, Jonas Ulmen, Amjad Haider, Daniel Görges
2025	J	`jnl`	Barrier Method for Inequality Constrained Factor Graph Optimization With Application to Model Predictive Control. IEEE Robotics Autom. Lett. Anas Abdelkarim, Daniel Görges, Holger Voos
2025	J	`jnl`	Barrier Method for Inequality Constrained Factor Graph Optimization with Application to Model Predictive Control. CoRR Anas Abdelkarim, Holger Voos, Daniel Görges
2025	J	`jnl`	COMponent-Aware Pruning for Accelerated Control Tasks in Latent Space Models. CoRR Ganesh Sundaram, Jonas Ulmen, Amjad Haider, Daniel Görges
2025	—	`conf`	Eco-Driving Assistance System based on Variable Sampling Model Predictive Control. ECC Steffen Schmees, Daniel Görges
2025	J	`jnl`	Enhanced Pruning Strategy for Multi-Component Neural Architectures Using Component-Aware Graph Analysis. CoRR Ganesh Sundaram, Jonas Ulmen, Daniel Görges
2025	—	`conf`	Excitation Trajectory Optimization with Power Constraints for Parameter Estimation. CCTA Daniel Stümke, Simon Peter, Daniel Görges
2025	J	`jnl`	Factor Graphs in Optimization-Based Robotic Control - A Tutorial and Review. IEEE Access Anas Abdelkarim, Holger Voos, Daniel Görges
2025	B	`conf`	Human Driver Modeling via Control-Based Approaches: PID and MPC using Bayesian Optimization for Driver Adaptation. SMC Steffen Schmees, Jan Heidinger, Markus Gödker, Lukas Bernhardt, Thomas Franke, Daniel Görges
2025	C	`conf`	Integrating Object Detection in Bird-View Systems for Enhancing Safety in Construction Machinery. IPAS Julian Hund, Eric Schöneberg, Daniel Görges, Hasan Hashib
2025	J	`jnl`	Learning State-Space Models of Dynamic Systems from Arbitrary Data using Joint Embedding Predictive Architectures. CoRR Jonas Ulmen, Ganesh Sundaram, Daniel Görges
2025	—	`conf`	Modeling of Large-Scale Dynamic Systems using Partially Connected Physics-Informed Neural Networks. ECC Javad Tousi, Daniel Görges
2025	—	`conf`	Polygonal Obstacle Avoidance Combining Model Predictive Control and Fuzzy Logic. ECMR Michael Schröder, Eric Schöneberg, Daniel Görges, Hans D. Schotten
2025	J	`jnl`	Polygonal Obstacle Avoidance Combining Model Predictive Control and Fuzzy Logic. CoRR Michael Schröder, Eric Schöneberg, Daniel Görges, Hans D. Schotten
2025	J	`jnl`	Trajectory Planning with Model Predictive Control for Obstacle Avoidance Considering Prediction Uncertainty. CoRR Eric Schöneberg, Michael Schröder, Daniel Görges, Hans D. Schotten
2025	J	`jnl`	ecg2o: A Seamless Extension of g2o for Equality-Constrained Factor Graph Optimization. CoRR Anas Abdelkarim, Holger Voos, Daniel Görges
2025	J	`jnl`	ecg2o: a seamless extension of g2o for equality-constrained factor graph optimization. Frontiers Robotics AI Anas Abdelkarim, Daniel Görges, Holger Voos
2024	—	`conf`	Automatic Controller Calibration for Electromechanical Drum Brakes with Safe Bayesian Optimization. CCTA Daniel Stümke, Jan Lauble, Simon Peter, Daniel Görges
2024	—	`conf`	Driving Simulation for Energy Efficiency Studies: Analyzing Electric Vehicle Eco-Driving With EcoSimLab and the EcoDrivingTestPark. AutomotiveUI Markus Gödker, Steffen Schmees, Lukas Bernhardt, Jan Heidinger, Daniel Görges, Thomas Franke
2024	—	`conf`	Investigation of the Performance of Different Loss Function Types Within Deep Neural Anchor-Free Object Detectors. ICAART (3) Ala'a Alshubbak, Daniel Görges
2024	J	`jnl`	Iterative learning control of an Euler-Bernoulli beam with time-varying boundary disturbance. Comput. Math. Appl. Yingying Wang, Wei Wu, Xuyang Lou, Daniel Görges
2024	J	`jnl`	MPC-Based 5G uRLLC Rate Calculation. IEEE Trans. Netw. Serv. Manag. Jun Liu, Paulo Renato da Costa Mendes, Andreas Wirsen, Daniel Görges
2024	—	`conf`	Prediction Error-Based Model Predictive Control for Resource Allocation of 5G Ultra-reliable Low-Latency Communication. FICC (1) Jun Liu, Paulo Renato da Costa Mendes, Andreas Wirsen, Daniel Görges
2024	J	`jnl`	Robust vibration control for a flexible cable gantry crane system subject to boundary disturbance. J. Syst. Control. Eng. Xin Huang, Wei Wu, Xuyang Lou, Daniel Görges
2024	—	`conf`	Self-supervised Segmentation to Pose Estimation Model for Mechanical Systems with Complex Kinematics. ISVC (2) Ala'a Alshubbak, Cyrille Ewoudi Ewoudi, Daniel Görges
2024	J	`jnl`	State Derivative Normalization for Continuous-Time Deep Neural Networks. CoRR Jonas Weigand, Gerben Izaak Beintema, Jonas Ulmen, Daniel Görges, Roland Tóth, Maarten Schoukens, Martin Ruskowski
2024	J	`jnl`	Stochastic MPC for Linear Systems With Unbounded Multiplicative Noise Guaranteeing Closed-Loop Chance Constraints Satisfaction. IEEE Control. Syst. Lett. Christoph Mark, Daniele Ravasio, Marcello Farina, Daniel Görges
2023	—	`conf`	A Self-supervised Pose Estimation Approach for Construction Machines. ISVC (2) Ala'a Alshubbak, Daniel Görges
2023	J	`jnl`	An ADMM-based algorithm for stabilizing distributed model predictive control without terminal cost and constraint. Eur. J. Control Ramin Rostami, Daniel Görges
2023	C	`conf`	An Accelerated Interior-Point Method for Convex Optimization Leveraging Backtracking Mitigation. IECON Anas Abdelkarim, Yanzhao Jia, Daniel Görges
2023	—	`conf`	Development of an End-to-End Tool Chain for AI-Assisted Generation and Optimization of Operating Strategies for Hybrid Electric Vehicles. ICECET Tobias Gehra, Ganesh Sundaram, Mirjan Heubaum, Jonas Ulmen, Michael Günthner, Daniel Görges
2023	C	`conf`	Optimization of Vehicle-to-Grid Profiles for Peak Shaving in Microgrids Considering Battery Health. IECON Anas Abdelkarim, Yanzhao Jia, Daniel Görges
2023	—	`conf`	Stochastic MPC with Situation-Aware Dynamic Risk Assessment for Autonomous Driving. ITSC Jonas Ulmen, Marc Wellstein, Christoph Mark, Ganesh Sundaram, Daniel Görges, Jan Reich
2022	J	`jnl`	Ausgewählte Beiträge des GMA Fachausschusses 1.50. Autom. Knut Graichen, Daniel Görges
2022	J	`jnl`	Deep Learning-Based Vehicle Speed Prediction for Ecological Adaptive Cruise Control in Urban and Highway Scenarios. CoRR Sai Krishna Chada, Daniel Görges, Achim Ebert, Roman Teutsch
2022	J	`jnl`	Evaluation of the Driving Performance and User Acceptance of a Predictive Eco-Driving Assistance System. CoRR Sai Krishna Chada, Daniel Görges, Achim Ebert, Roman Teutsch, Shreevatsa Puttige Subramanyaa
2022	J	`jnl`	Event-triggered feedback control for discrete-time piecewise-affine systems subject to input saturation and bounded disturbance. Int. J. Control Wei Wu, Yifei Ma, Daniel Görges, Xuyang Lou
2022	B	`conf`	Learning-Based Driver Behavior Modeling and Delay Compensation to Improve the Efficiency of an Eco-Driving Assistance System. SMC Sai Krishna Chada, Daniel Görges, Achim Ebert, Roman Teutsch, Chin Guang Min
2022	J	`jnl`	Online Optimization of Gear Shift and Velocity for Eco-Driving Using Adaptive Dynamic Programming. IEEE Trans. Intell. Veh. Guoqiang Li, Daniel Görges, Meng Wang
2022	—	`conf`	Optimized Traffic Lights Management Algorithm with Multiple Information Inputs for Higher Traffic and Energy Efficiency. ITSC Yanzhao Jia, Tawfik Al-Nusairi, Daniel Görges
2021	—	`conf`	An Empirical Study on Ego Vehicle Trajectory Prediction for Bicycles in Urban Environments Based on Conditional Imitation Learning. ITSC Andreas Weißmann, Daniel Görges
2021	J	`jnl`	Ecological Adaptive Cruise Control for City Buses based on Hybrid Model Predictive Control using PnG and Traffic Light Information. CoRR Sai Krishna Chada, Jitin Mathew Thomas, Daniel Görges, Achim Ebert, Roman Teutsch
2021	J	`jnl`	Fast distributed model predictive control combining ADMM, IPM and Riccati iteration. Autom. Giuliano Costantini, Daniel Görges
2021	—	`conf`	Optimal Preview Control with Uncertain Preview Information with Application to Active Suspension Systems. CCTA Guihai Luo, Daniel Görges
2021	J	`jnl`	Sequential Multi-Stage and Tube-Based Robust MPC for Constrained Linear Systems With Multiplicative Uncertainty. IEEE Control. Syst. Lett. Tobias Peschke, Daniel Görges
2021	C	`conf`	Sequential Multi-Stage and Tube-based Robust MPC for Constrained Linear Systems with Multiplicative Uncertainty. ACC Tobias Peschke, Daniel Görges
2020	—	`ed.`	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 RAAD Karsten Berns, Daniel Görges
2020	—	`conf`	An LSTM-Based Speed Predictor Based on Traffic Simulation Data for Improving the Performance of Energy-Optimal Adaptive Cruise Control. ITSC Yanzhao Jia, Chen Cai, Daniel Görges
2020	—	`conf`	Control of Active Suspensions with Pump-Controlled Electro-Hydraulic Actuators under Uncertainties and Constraints using Adaptive Dynamic Programming. AIM Guihai Luo, Daniel Görges
2020	J	`jnl`	Ecological Adaptive Cruise Control for Vehicles With Step-Gear Transmission Based on Reinforcement Learning. IEEE Trans. Intell. Transp. Syst. Guoqiang Li, Daniel Görges
2020	—	`conf`	Energy-Optimal Adaptive Cruise Control based on Hybrid Model Predictive Control with Mixed-Integer Quadratic Programming. ECC Yanzhao Jia, Daniel Görges
2020	J	`jnl`	Energy-Optimal Adaptive Cruise Control for Electric Vehicles Based on Linear and Nonlinear Model Predictive Control. IEEE Trans. Veh. Technol. Yanzhao Jia, Rabee Jibrin, Daniel Görges
2020	J	`jnl`	Integrated adaptive dynamic programming for data-driven optimal controller design. Neurocomputing Guoqiang Li, Daniel Görges, Chaoxu Mu
2020	J	`jnl`	Robust Model Predictive Control of Linear Systems With Predictable Disturbance With Application to Multiobjective Adaptive Cruise Control. IEEE Trans. Control. Syst. Technol. Xiaohai Lin, Daniel Görges
2019	J	`jnl`	Ecological Adaptive Cruise Control and Energy Management Strategy for Hybrid Electric Vehicles Based on Heuristic Dynamic Programming. IEEE Trans. Intell. Transp. Syst. Guoqiang Li, Daniel Görges
2019	J	`jnl`	Energy management strategy for parallel hybrid electric vehicles based on approximate dynamic programming and velocity forecast. J. Frankl. Inst. Guoqiang Li, Daniel Görges
2019	—	`conf`	Fast Separable Terminal Cost Synthesis for Distributed MPC. ECC Giuliano Costantini, Ramin Rostami, Daniel Görges
2019	J	`jnl`	Fuel-Efficient Gear Shift and Power Split Strategy for Parallel HEVs Based on Heuristic Dynamic Programming and Neural Networks. IEEE Trans. Veh. Technol. Guoqiang Li, Daniel Görges
2019	—	`conf`	Modeling and Adaptive Robust Force Control of a Pump-Controlled Electro-Hydraulic Actuator for an Active Suspension System. CCTA Guihai Luo, Daniel Görges
2019	C	`conf`	Modeling of Coupled Vertical and Longitudinal Dynamics of Bicycles for Brake and Suspension Control. IV Silas Klug, Alessandro Moia, Armin Verhagen, Daniel Görges, Sergio M. Savaresi
2019	—	`conf`	Obtaining a Stabilizing Prediction Horizon in Quadratic Programming Model Predictive Control. CDC Dimitri Morgenstern, Daniel Görges, Andreas Wirsen
2019	—	`conf`	Online Trajectory Planning and Collision Avoidance for a Group of Robots Using Distributed Model Predictive Control. RAAD Giuliano Costantini, Ramin Rostami, Daniel Görges
2019	—	`conf`	Robust Tube-Based Tracking MPC for Linear Systems with Multiplicative Uncertainty. CDC Tobias Peschke, Daniel Görges
2019	C	`conf`	Semi-Active Suspension Control on Bicycles: Anti-Dive during Road Excitation. IV Silas Klug, Alessandro Moia, Armin Verhagen, Daniel Görges, Sergio M. Savaresi
2019	—	`conf`	Stabilizing Distributed Model Predictive Control using the Consensus Form of ADMM. CDC Ramin Rostami, Giuliano Costantini, Daniel Görges
2019	—	`conf`	The Energy Interface Challenge. Towards Designing Effective Energy Efficiency Interfaces for Electric Vehicles. AutomotiveUI Thomas Franke, Daniel Görges, Matthias G. Arend
2018	—	`conf`	Communication Reduction in Stabilizing Distributed Model Predictive Control. CDC Ramin Rostami, Giuliano Costantini, Daniel Görges
2018	—	`conf`	Decomposition Methods for Distributed Quadratic Programming with Application to Distributed Model Predictive Control. Allerton Giuliano Costantini, Ramin Rostami, Daniel Görges
2018	—	`conf`	Distributed Linear Quadratic Regulator for the Synthesis of a Separable Terminal Cost for Distributed Model Predictive Control. CDC Giuliano Costantini, Ramin Rostami, Daniel Görges
2018	—	`conf`	Experimental Analysis of Sensor Requirements for eBike Rider Assistance Systems. ICVES Dauer Felix, Daniel Görges, Andreas Wienss
2018	C	`conf`	Model Predictive Control of Self-Propelled Work Machines with Spatial Disturbance Preview. ACC Tobias Peschke, Philipp Munch, Daniel Görges
2017	—	`conf`	ADMM-based distributed model predictive control: Primal and dual approaches. CDC Ramin Rostami, Giuliano Costantini, Daniel Görges
2017	—	`conf`	Control-Oriented modeling and validation of bicycle curve dynamics with focus on lateral tire parameters. CCTA Silas Klug, Alessandro Moia, Armin Verhagen, Daniel Görges, Sergio M. Savaresi
2017	J	`jnl`	Cyber-Automotive Simulation and Evaluation Platform for Vehicular Value Added Services. CoRR Raja Sattiraju, Pratip Chakraborty, Hans D. Schotten, Xiaohai Lin, Daniel Görges
2017	—	`conf`	Energy management system for charging stations with regenerative supply and battery storage based on hybrid model predictive control. CCTA Tobias Lepold, Daniel Görges
2016	—	`conf`	A privacy preserving negotiation-based control scheme for low voltage grids. ISIE Markus Bell, Simon Fuchs, Felix Berkel, Steven Liu, Daniel Görges
2015	J	`jnl`	Event-Based Control and Scheduling Codesign: Stochastic and Robust Approaches. IEEE Trans. Autom. Control. Sanad Al-Areqi, Daniel Görges, Steven Liu
2015	—	`conf`	Event-based control and scheduling codesign subject to input and state constraints. ECC Sanad Al-Areqi, Daniel Görges, Steven Liu
2015	J	`jnl`	Event-based networked control and scheduling codesign with guaranteed performance. Autom. Sanad Al-Areqi, Daniel Görges, Steven Liu
2015	J	`jnl`	Suboptimal Event-Triggered Control for Time-Delayed Linear Systems. IEEE Trans. Autom. Control. Wei Wu, Sven Reimann, Daniel Görges, Steven Liu
2014	C	`conf`	Eco-driving assistance system for electric vehicles based on speed profile optimization. CCA Xiaohai Lin, Daniel Görges, Steven Liu
2014	C	`conf`	Integrated energy and parking management for parking areas with electric vehicles. CCA Jing Lu, Felix Berkel, Tim Nagel, Daniel Görges, Steven Liu
2014	—	`conf`	Stochastic event-based control and scheduling of large-scale networked control systems. ECC Sanad Al-Areqi, Daniel Görges, Steven Liu
2013	C	`conf`	Control design for nodes in decentralized traffic networks with delayed traffic information. ETFA Ireneus Wior, Mohsen Mirza Aligoudarzi, Alexander Fay, Daniel Görges, Steven Liu
2013	J	`jnl`	Energy Management for Smart Grids With Electric Vehicles Based on Hierarchical MPC. IEEE Trans. Ind. Informatics Fabian Kennel, Daniel Görges, Steven Liu
2013	C	`conf`	Event-based control and scheduling codesign of networked embedded control systems. ACC Sanad Al-Areqi, Daniel Görges, Sven Reimann, Steven Liu
2013	—	`conf`	Load-frequency control, economic dispatch and unit commitment in smart microgrids based on hierarchical model predictive control. CDC Felix Berkel, Daniel Görges, Steven Liu
2012	—	`conf`	Receding-horizon control and scheduling of systems with uncertain computation and communication delays. CDC Sanad Al-Areqi, Daniel Görges, Steven Liu
2012	—	`conf`	Robust Feedback Control and Scheduling of Networked Embedded Control Systems. ADHS Sanad Al-Areqi, Daniel Görges, Steven Liu
2011	J	`jnl`	Optimal Control and Scheduling of Switched Systems. IEEE Trans. Autom. Control. Daniel Görges, Michal Izak, Steven Liu
2011	—	`conf`	Robust control and scheduling codesign for networked embedded control systems. CDC/ECC Sanad Al-Areqi, Daniel Görges, Steven Liu
2010	C	`conf`	Periodic observer design for networked embedded control systems. ACC Stefan Simon, Daniel Görges, Michal Izak, Steven Liu
2009	—	`conf`	Optimal control and scheduling of networked control systems. CDC Daniel Görges, Michal Izak, Steven Liu
2007	—	`conf`	Optimal control of systems with resource constraints. CDC Daniel Görges, Michal Izak, Steven Liu