Fachgebiet Elektromobilität

Publikationen

Elektrisch, autonom, vernetzt!

Hinweis

Zu einigen Publikationen sind Programme und Daten verfügbar. Bitte sprechen Sie uns bei Interesse gerne an.

Zeitschriften

  1. Silas Klug, Alessandro Moia, Armin Verhagen, Daniel Görges and Sergio Savaresi. The influence of bicycle fork bending on brake control. Accepted for Vehicle System Dynamics.

  2. Guoqiang Li and Daniel Görges. Ecological adaptive cruise control for vehicles with step-gear transmission based on reinforcement learning. Accepted for IEEE Transactions on Intelligent Transportation Systems.

  3. Guoqiang Li, Daniel Görges, and Chaoxu Mu. Integrated adaptive dynamic programming for data-driven optimal controller design. Neurocomputing, 403:143-152, 2020.

  4. Guoqiang Li and Daniel Görges. Optimal integrated energy management and shift control in parallel hybrid electric vehicles with dual-clutch transmission. Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering. 234(2-3):599-609, 2020.

  5. Xiaohai Lin and Daniel Görges. Robust model predictive control of linear systems with predictable disturbance with application to multiobjective adaptive cruise control. IEEE Transactions on Control Systems Technology, 28(4):1460-1475, 2020.

  6. Guoqiang Li and Daniel Görges. Fuel-efficient gear shift and power split strategy for parallel HEVs based on heuristic dynamic programming and neural networks. IEEE Transactions on Vehicular Technology, 68(10):9519-9528, 2019.

  7. Guoqiang Li and Daniel Görges. Energy management strategy for parallel hybrid electric vehicles based on approximate dynamic programming and velocity forecast. Journal of The Franklin Institute, 356(16):9502-9523, 2019.

  8. Yifei Ma, Wei Wu, Daniel Görges, and Baotong Cui. Event-triggered feedback control for discrete-time piecewise affine systems subject to input saturation. Nonlinear Dynamics, 95(3):2353-2365, 2019.

  9. Guoqiang Li and Daniel Görges. Ecological adaptive cruise control and energy management strategy for hybrid electric vehicles based on heuristic dynamic programming. Accepted for IEEE Transactions on Intelligent Transportation Systems, 20(9):3526-3535, 2019.

  10. Andreas Weißmann, Daniel Görges, and Xiaohai Lin. Energy-optimal adaptive cruise control combining model predictive control and dynamic programming. Control Engineering Practice, 72(3):125-137, 2018.

  11. Guoqiang Li and Daniel Görges. Optimal control of the gear shifting process for shift smoothness in dual-clutch transmissions. Mechanical Systems and Signal Processing, 103:23-38, 2018.

  12. Wei Wu, Sven Reiman, Daniel Görges, and Steven Liu. Event-triggered control for discrete-time linear systems subject to bounded disturbance. International Journal of Robust and Nonlinear Control, 26(9):1902-1918, 2016.

  13. Sanad Al-Areqi, Daniel Görges, and Steven Liu. Event-based networked control and scheduling codesign with guaranteed performance. Automatica, 57(7):128134, 2015.

  14. Sanad Al-Areqi, Daniel Görges, and Steven Liu. Event-based control and scheduling codesign: Stochastic and robust approaches. IEEE Transactions on Automatic Control, 60(5):12911303, 2015.

  15. Wei Wu, Sven Reimann, Daniel Görges, and Steven Liu. Suboptimal event-triggered control for time-delayed linear systems. IEEE Transactions on Automatic Control, 60(5):13861391, 2015.

  16. Fabian Kennel, Daniel Görges, and Steven Liu. Energy management for smart grids with electric vehicles based on hierarchical MPC. IEEE Transactions on Industrial Informatics, 9(3):1528–1537, 2013.

  17. Daniel Görges, Michal Izák, and Steven Liu. Optimal control and scheduling of switched systems. IEEE Transactions on Automatic Control, 56(1):135–140, 2011.

  18. Michal Izák, Daniel Görges, and Steven Liu. Stabilization of systems with variable and uncertain sampling period and time delay. Nonlinear Analysis: Hybrid Systems, 4(2):291–305, 2010.

Konferenzen (begutachtet)

  1. Yanzhao Jia, Chen Cai, and Daniel Görges. An LSTM-based speed predictor based on traffic simulation data for improving the performance of energy-optimal adaptive cruise control. Accepted for Proceedings of the 2020 IEEE Intelligent Transportation Systems Conference, Rhodos, Griechenland, 2020.

  2. Guihai Luo and Daniel Görges. Control of active suspensions with pump-controlled electro-hydraulic actuators under uncertainties and constraints using adaptive dynamic pro-gramming. Accepted for Proceedings of the 2020 IEEE/ASME International Conference on Advanced Intelligent Mechatronics, Boston, MA, USA, 2020.

  3. Tobias Peschke and Daniel Görges. Tube-based anticipative robust MPC for systems with multiplicative uncertainty. Accepted for Proceedings of the 21st IFAC World Congress, Berlin, Germany, 2020.

  4. Giuliano Costantini and Daniel Görges. Efficient solution of equality constrained quadratic programming arising in model predictive control. Accepted for Proceedings of the 21st IFAC World Congress, Berlin, Germany, 2020.

  5. Yanzhao Jia and Daniel Görges. Energy-optimal adaptive cruise control based on hybrid model predictive control with mixed-integer quadratic programming. Accepted for Proceedings of the 2020 European Control Conference, St. Petersburg, Russia, 2020.

  6. Tobias Peschke, Philipp Münch, and Daniel Görges. Model predictive control for combine harversters using geospatial data. Accepted for Proceeedings of the 6th International Commercial Vehicle Technology Symposium, Kaiserslautern, Germany, 2020.

  7. Sai Krishna Chada, Mohammed Mohsin Memon, Marc Fingerhut, Daniel Görges, Achim Ebert und Roman Teutsch. A driver-in-the-loop co-simulation framework for testing eco-driving assistance for commercial vehicles in urban environments. Accepted for Proceeedings of the 6th International Commercial Vehicle Technology Symposium, Kaiserslautern, Germany, 2020.

  8. Thomas Franke, Daniel Görges und Matthias G. Arend. The energy interface challenge – towards designing effective energy efficiency interfaces for electric vehicles. In Proceedings of the 11th International ACM Conference on Automotive User Interfaces and Interactive Vehicular Applications, Utrecht, Netherlands, 2019.

  9. Ramin Rostami, Giuliano Costantini, and Daniel Görges. Stabilizing distributed model predictive control using the consensus form of ADMM. In Proceedings of the 58th IEEE Conference on Decision and Control, Nice, France, 2019.

  10. Dimitri Morgenstern, Daniel Görges, and Andreas Wirsen. Obtaining a stabilizing prediction horizon in quadratic programming model predictive control. In Proceedings of the 58th IEEE Conference on Decision and Control, Nice, France, 2019.

  11. Tobias Peschke and Daniel Görges. Robust Tube-Based Tracking MPC for Linear Systems with Multiplicative Uncertainty. In Proceedings of the 58th IEEE Conference on Decision and Control, Nice, France, 2019.

  12. Yanzhao Jia, Rabee Jibrin, and Daniel Görges. Energy-optimal adaptive cruise control for electric vehicles based on nonlinear model predictive control. In Proceddings of the 2019 IEEE Vehicle Power and Propulsion Conference, Hanoi, Vietnam, 2019.

  13. Daniel Görges. Distributed adaptive linear quadratic control using distributed reinforcement learning. In Proceedings of the 5th IFAC International Conference on Intelligent Control and Automation Sciences, Belfast, UK, 2019.

  14. Guihai Luo and Daniel Görges. Modeling and adaptive robust force control of a pump-controlled electro-hydraulic actuator for an active suspension system. In Proceedings of the 2019 IEEE Conference on Control Technology and Applications, Honkong, China, 2019.

  15. Giuliano Costantini, Ramin Rostami, and Daniel Görges. Fast separable terminal cost synthesis for distributed MPC. In Proceedings of the European Control Conference 2019, Naples, Italy, 2019.

  16. Giuliano Costantini, Ramin Rostami, and Daniel Görges, Online trajectory planning and Collision avoidance for a group of robots using distributed model predictive control. In Proceedings of the 28th International Conference on Robotics in Alpe-Adria-Danube Region, Kaiserslautern, Germany, 2019.

  17. Silas Klug, Alessandro Moya, Armin Verhagen, Daniel Görges, and Sergio Savaresi. Semi-active suspension control on bicycles: anti-dive during road excitation. In Proceedings of the 2019 IEEE Intelligent Vehicles Symposium, Paris, France, 2019.

  18. Silas Klug, Alessandro Moya, Armin Verhagen, Daniel Görges, and Sergio Savaresi.modeling of coupled vertical and longitudinal dynamicsof bicycles for brake and suspension control. In Proceedings of the 2019 IEEE Intelligent Vehicles Symposium, Paris, France, 2019.

  19. Yanzhao Jia, Rabee Jibrin, Yutaro Itoh, and Daniel Görges. Energy-optimal adaptive cruise control for electric vehicles in both time and space domain based on model predictive control. In Proceedings of the 9th IFAC International Symposium on Advances in Automotive Control, Orléans, France, 2019.

  20. Yanzhao Jia, Ulrich Schwarz, and Daniel Görges. Energy-optimal adaptive cruise control based on model predictive control in real driving emission tests. In Proceedings of AUTOREG 2019, Mannheim, Germany, 2019.

  21. Felix Dauer, Andreas Wienss, and Daniel Görges. Impacts of inertial sensor errors on both data fusion and attitude-based bicycle rider assistance systems in order to derive sensor requirements. In Proceedings of the 6th IEEE International Symposium on Inertial Sensors & Systems, Naples, FL, USA, 2019.

  22. Ramin Rostami, Giuliano Costantini, and Daniel Görges. Communication reduction in stabilizing distributed model predictive control. In Proceedings of the 57th IEEE Conference on Decision and Control, pp. 5164-5169, Miami, FL, USA, 2018.

  23. Giuliano Costantini, Ramin Rostami, and Daniel Görges. Distributed linear quadratic regulator for the synthesis of a separable terminal cost for distributed model predictive control. In Proceedings of the 57th IEEE Conference on Decision and Control, pp. 5170-5175, Miami, FL, USA, 2018.

  24. Giuliano Costantini, Ramin Rostami, and Daniel Görges. Decomposition methods for distributed quadratic programming with application to distributed model predictive control. In Proceedings of the 2018 56th Allerton Conference on Communication, Control, and Computing, pp. 943-950, Allerton House, UIUC, IL, USA, 2018.

  25. Nicolas Mellinger, Andreas Weißmann, Johannes Roos, Daniel Görges, and Wilko Manz. Safety-oriented driver assistance systems for electric bicycles. In Proceedings of the 7th International Cycling Safety Conference, Barcelona, Spain, 2018.

  26. Felix Dauer, Daniel Görges, and Andreas Wienss. Experimental analysis of sensor requirements for eBike rider assistance systems. In Proceedings of the 20th IEEE International Conference on Vehicular Electronics and Safety, Madrid, Spain, 2018.

  27. Jia Yanzhao, Tomohiro Saito, Yutaro Itoh, Yernar Nukezhanov, and Daniel Görges. Energy-optimal adaptive cruise control in time domain based on model predictive control. In Proceedings of the 5th IFAC Conference on Engine Control, Simulation and Modeling, Changchun, China, 2018.

  28. Guoqiang Li and Daniel Görges. Learning-based eco-adaptive cruise control for vehicles with step-gear transmission. In Proceedings of the 4th International Symposium on Advanced Vehicle Control, Beijing, China, 2018.

  29. Tobias Peschke, Philipp Münch, and Daniel Görges. Model predictive control of self-propelled work machines with spatial disturbance preview. In 2Proceedings of the 2018 American Control Conference, Milwaukee, WI, USA, 2018.

  30. Xiaohai Lin and Daniel Görges. Cloud-based vehicle velocity prediction based on seasonal autoregressive integrated moving average processes. In Proceedings of the 2018 SAE World Congress, Detroit, MI, USA, 2018.

  31. Ramin Rostami, Giuliano Costantini, and Daniel Görges. ADMM-based distributed model predictive control: Primal and dual approaches. In Proceedings of the 56th IEEE Conference on Decision and Control, pages 6598-6603, Melbourne, Australia, 2017.

  32. Guoqiang Li and Daniel Görges. Hybrid modeling and predictive control of the power split and gear shift in hybrid electric vehicles. In Proceedings of the 2017 IEEE Vehicle Power and Propulsion Conference, Belfort, France, 2017.

  33. Tobias Lepold and Daniel Görges. Energy Management System for Charging Stations with Renewable Supply and Battery Storage based on Hybrid Model Predictive Control. In Proceedings of the 2017 IEEE Conference on Control Technology and Applications, pages 799-805, Kohala Coast, HI, USA.

  34. Silas Klug, Alessandro Moia, Armin Verhagen, Daniel Görges, and Sergio Savaresi. Control-oriented modeling and validation of bicycle curve dynamics with focus on lateral tire parameters. In Proceedings of the 2017 IEEE Conference on Control Technology and Applications, pages 86-93, Kohala Coast, HI, USA.

  35. Silas Klug, Alessandro Moia, Armin Verhagen, Daniel Görges, and Sergio Savaresi. On coupling of vertical and longitudinal dynamics of unsuspended bicycles. In Proceedings of the 6th International Cycling Safety Conference, Davis, CA, USA, 2017.

  36. Daniel Görges. Relations between model predictive control and reinforcement learning. In Proceedings of the 20th IFAC World Congress, pages 5071-5079, Toulouse, France, 2017.

  37. Ramin Rostami and Daniel Görges. Distributed model predictive control with event-based optimization. In Proceedings of the 20th IFAC World Congress, pages 9263-9268, Toulouse, France, 2017.

  38. Felix Berkel, Benjamin Watkins, Steven Liu, and Daniel Görges. Output-based event-triggered model predictive control for networked embedded control systems. In Proceedings of the 20th IFAC World Congress, pages 9281-9286, Toulouse, France, 2017.

  39. Silas Klug, Alessandro Moia, Armin Verhagen, Daniel Görges, and Sergio Savaresi. Effectiveness of actuating on rectilinear bicycle braking dynamics. In Proceedings of the 20th IFAC World Congress, pages 995-1002, Toulouse, France, 2017.

  40. Andreas Weißmann, Daniel Görges, and Xiaohai Lin. Energy-optimal adaptive cruise control based on model predictive control. In Proceedings of the 20th IFAC World Congress, pages 13074-13079, Toulouse, France, 2017.

  41. Xiaohai Lin, Daniel Görges und Andreas Weißmann. Simplified energy-efficient adaptive cruise control based on model predictive control. In Proceedings of the 20th IFAC World Congress, pages 4945-4950, Toulouse, France, 2017.

  42. Ramin Rostami and Daniel Görges. A distributed model predictive control strategy with event-based optimization. In Proceedings of the International Symposium on Networked Cyber-Physical Systems, München, Germany, 2016

  43. Markus Bell, Simon Fuchs, Felix Berkel, Steven Liu, and Daniel Görges. A privacy-preserving negotiation-based control scheme for low voltage grids. In Proceedings of the 2016 International Symposium on Industrial Electronics, pages 678-683, Santa Clara, CA, USA, 2016

  44. Xiaohai Lin, Daniel Görges, Sebastian Schöffel, Johannes Schwank, Pascal Stahl, Achim Ebert, Mohamed Selim, and Didier Stricker. Eco-driving assistance systems for commercial vehicles. In Proceedings of the 4th International Commercial Vehicle Technology Symposium, pages 51–60, Kaiserslautern, Germany, 2016.

  45. Raja Sattiraju, Pratip Chakraborty, Hans Schotten, Xiaohai Lin, and Daniel Görges. Cyber-automotive simulation and evaluation platform for vehicular value added serveces. In Proceedings of the 4th International Commercial Vehicle Technology Symposium, pages 80–87, Kaiserslautern, Germany, 2016.

  46. Xiaohai Lin, Daniel Görges, Sebastian Caba, and Steven Liu. Stochastic MPC of systems with additive disturbance using scenario optimization. In Proceedings of the 5th IFAC Conference on Nonlinear Model Predictive Control, pages 236-241, Sevilla, Spain, 2015.

  47. Sanad Al-Areqi, Daniel Görges, and Steven Liu. Event-based control and scheduling codesign subject to input and state constraints. In Proceedings of the European Control Conference 2015, pages 1860-1865, Linz, Austria, 2015.

  48. Jochen Barthel, Daniel Görges, Markus Bell, and Philipp Münch. Energy management for hybrid electric tractors combining load point shifting, regeneration and boost. In Proceedings of the 2014 IEEE Vehicle Power and Propulsion Conference, Coimbra, Portugal, 2014.

  49. Xiaohai Lin, Daniel Görges, and Steven Liu. Eco-driving assistance system for electric vehicles based on speed profile optimization. In Proceedings of the 2014 IEEE Multi-Conference on Systems and Control, pages 629–634, Antibes, France, 2014.

  50. Jing Lu, Felix Berkel, Tim Nagel, Daniel Görges, and Steven Liu. Integrated energy and parking management for parking areas with electric vehicles. In Proceedings of the 2014 IEEE Multi-Conference on Systems and Control, pages 1924–1929, Antibes, France, 2014.

  51. Sanad Al-Areqi, Daniel Görges, and Steven Liu. Stochastic event-based control and scheduling of large-scale networked control systems. In Proceedings of the European Control Conference 2014, pages 2316–2321, Strasbourg, France, 2014.

  52. Yingzi Shen, Sebastian Caba, Daniel Görges, and Steven Liu. Optimization of the switching strategy of automatic transmissions for fuel consumption reduction. In Proceedings of the 3rd International Commercial Vehicle Technology Symposium, pages 254–263, Kaiserslautern, Germany, 2014.

  53. Felix Berkel, Daniel Görges, and Steven Liu. Load-frequency control, economic dispatch and unit commitment in smart microgrids based on hierarchical model predictive control. In Proceedings of the 52nd IEEE Conference on Decision and Control, pages 2326–2333, Florence, Italy, 2013.

  54. Daniel Görges and Steven Liu. Energy management in smart grids with electric vehicles based on pricing. In Proceedings of the 4th IFAC Workshop on Distributed Estimation and Control in Networked Systems, pages 182–189, Koblenz, Germany, 2013.

  55. Sanad Al-Areqi, Daniel Görges, and Steven Liu. Robust event-based control and scheduling of networked embedded control systems. In Proceedings of the 4th IFAC Workshop on Distributed Estimation and Control in Networked Systems, pages 7–14, Koblenz, Germany, 2013.

  56. Ireneus Wior, Mohsen Mirza Aligoudarzi, Alexander Fay, Daniel Görges, and Steven Liu. Control design for nodes in decentralized traffic networks with delayed traffic information. In Proceedings of the 18th IEEE International Conference on Emerging Technologies and Factory Automation, Cagliari, Italy, 2013.

  57. Sanad Al-Areqi, Daniel Görges, Sven Reimann, and Steven Liu. Event-based control and scheduling codesign of networked embedded control systems. In Proceedings of the 2013 American Control Conference, pages 5319–5324, Washington, DC, USA, 2013.

  58. Sanad Al-Areqi, Daniel Görges, and Steven Liu. Receding-horizon control and scheduling of systems with uncertain computation and communication delays. In Proceedings of the 51st IEEE Conference on Decision and Control, pages 2654–2659, Maui, HI, USA, 2012.

  59. Sanad Al-Areqi, Daniel Görges, and Steven Liu. Robust feedback control and scheduling of networked embedded control systems. In Proceedings of the 4th IFAC Conference on Analysis and Design of Hybrid Systems, pages 127–132, Eindhoven, The Netherlands, 2012.

  60. Sanad Al-Areqi, Daniel Görges, and Steven Liu. Robust control and scheduling codesign for networked embedded control systems. In Proceedings of the 50th IEEE Conference on Decision and Control and European Control Conference 2011, pages 3154–3159, Orlando, FL, USA, 2011.

  61. Philipp Münch, Daniel Görges, and Steven Liu. Periodic current and energy control and balancing of modular multilevel converters. In Proceedings of the 36th Annual Conference of the IEEE Industrial Electronics Society, pages 150–155, Glendale, AZ, USA, 2010.

  62. Michal Izák, Daniel Görges, and Steven Liu. Optimal control of networked control systems with uncertain time-varying transmission delay. In Proceedings of the 2nd IFAC Workshop on Distributed Estimation and Control in Networked Systems, pages 13–18, Annecy, France, 2010.

  63. Stefan Simon, Daniel Görges, Michal Izák, and Steven Liu. Periodic observer design for networked embedded control systems. In Proceedings of the 2010 American Control Conference, pages 4253–4258, Baltimore, MD, USA, 2010.

  64. Daniel Görges, Michal Izák, and Steven Liu. Optimal control and scheduling of networked control systems. In Proceedings of the 48th IEEE Conference on Decision and Control and 28th Chinese Control Conference, pages 5839–5844, Shanghai, China, 2009.

  65. Daniel Görges, Jens Kroneis, and Steven Liu. Active vibration control of storage and retrieval machines. In Prodeedings of the 32nd ASME Annual Mechanisms and Robotics Conference, New York, NY, USA, 2008.

  66. Michal Izák, Daniel Görges, and Steven Liu. Stability and control of systems with uncertain time-varying sampling period and time delay. In Proceedings of the 17th IFAC World Congress, pages 11514–11519, Seoul, South Korea, 2008.

  67. Daniel Görges, Michal Izák, and Steven Liu. Optimal control of systems with resource constraints. In Proceedings of the 46th IEEE Conference on Decision and Control, pages 1070–1075, New Orleans, LA, USA, 2007.

  68. Michal Izák, Daniel Görges, and Steven Liu. On stability and control of systems with time-varying sampling period and time delay. In Proceedings of the 7th IFAC Symposium on Nonlinear Control Systems, pages 1056–1061, Pretoria, South Africa, 2007.

Konferenzen (nicht begutachtet)

  1. Giuliani Costantini, Ramin Rostami, and Daniel Görges. Fast separable computation of the terminal cost for distributed MPC. In Workshop des GMA-Fachausschusses 1.50 “Grundlagen vernetzter Systeme”, Reisensburg/Günzburg, Germany, 2019.

  2. Daniel Görges. Towards distributed optimal adaptive control based on reinforcement learning. In Workshop des GMA-Fachausschusses 1.50 “Grundlagen vernetzter Systeme”, Reisensburg/Günzburg, Germany, 2018.

  3. Ramin Rostami, Giuliano Costantini, and Daniel Görges. Communication reduction in distributed model predictive control without terminal costs and constraints. In Workshop des GMA-Fachausschusses 1.50 “Grundlagen vernetzter Systeme”, Reisensburg/ Günzburg, Germany, 2018.

  4. Giuliano Costantini, Ramin Rostami, and Daniel Görges. Distributed semidefinite programming for the synthesis of a stabilizing model predictive controller for interconnected systems. In Workshop des GMA-Fachausschusses 1.50 “Grundlagen vernetzter Systeme”, Reisensburg/ Günzburg, Germany, 2017.

  5. Xiaohai Lin and Daniel Görges. Stochastische modellprädiktive Regelung für assistiertes und automatisiertes Fahren. In 50. Regelungstechnisches Kolloquium, Boppard, Germany, 2016.

  6. Sanad Al-Areqi, Daniel Görges, and Steven Liu. Optimal event based control and scheduling codesign for NECSs. In Workshop des GMA-Fachausschusses 1.40 "Theoretische Verfahren der Regelungstechnik", Anif/Salzburg, Austria, 2013.

  7. Daniel Görges, Michal Izák, and Steven Liu. Optimale regelung vernetzter systeme mit unsicherer zeitvarianter Übertragungszeit. In Workshop des GMA-Fachausschusses 1.40 "Theoretische Verfahren der Regelungstechnik", pages 231–243, Anif/Salzburg, Austria, 2010.

  8. Daniel Görges, Michal Izák, and Steven Liu. Stabilität und Regelung von Systemen mit unsicherer zeitvarianter Abstast- und Totzeit. In 43. Regelungstechnisches Kolloquium, Boppard, Germany, 2009.

  9. Daniel Görges, Michal Izák, and Steven Liu. Optimales regler-scheduler-codesign für eingebettete regelungssysteme. In Workshop des GMA-Fachausschusses 1.40 "Theoretische Verfahren der Regelungstechnik", pages 307–319, Anif/Salzburg, Austria, 2008.
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