@inproceedings{HirschAbelBohnetal.2009,
  author    = {Hirsch, Tobias and Abel, Dirk and Bohn, Dieter and Diehl, Moritz and Hoffschmidt, Bernhard and Pitz-Paal, Robert},
  title     = {The Virtual Institute for Central Receiver Power Plants - vICERP},
  series = {SolarPACES 2009 : electricity, fuels and clean water powered by the sun ; 15 - 18 September 2009, Berlin, Germany ; the 15th SolarPACES conference ; proceedings},
  booktitle = {SolarPACES 2009 : electricity, fuels and clean water powered by the sun ; 15 - 18 September 2009, Berlin, Germany ; the 15th SolarPACES conference ; proceedings},
  publisher = {Deutsches Zentrum f. Luft- u. Raumfahrt},
  address   = {Stuttgart},
  isbn      = {9783000287558},
  pages     = {1 CD-ROM},
  year      = {2009},
  language  = {en}
}
@inproceedings{KolditzAlbinFasseetal.2015,
  author    = {Kolditz, Melanie and Albin, Thivaharan and Fasse, Alessandro and Br{\"u}ggemann, Gert-Peter and Abel, Dirk and Albracht, Kirsten},
  title     = {Simulative Analysis of Joint Loading During Leg Press Exercise for Control Applications},
  series = {IFAC-PapersOnLine},
  volume    = {48},
  booktitle = {IFAC-PapersOnLine},
  number    = {20},
  doi       = {10.1016/j.ifacol.2015.10.179},
  pages     = {435 -- 440},
  year      = {2015},
  language  = {en}
}
@inproceedings{GallAbelAhlbrinketal.2010,
  author    = {Gall, J. and Abel, Dirk and Ahlbrink, N. and Pitz-Paal, R. and Andersson, J. and Diehl, M. and Teixeira Boura, Cristiano Jos{\´e} and Schmitz, M. and Hoffschmidt, Bernhard},
  title     = {Simulation and control of solar thermal power plants},
  series = {International Conference on Renewable Energies and Power Quality : ICREPQ '10 : Granada 23rd - 25th March 2010},
  booktitle = {International Conference on Renewable Energies and Power Quality : ICREPQ '10 : Granada 23rd - 25th March 2010},
  pages     = {1 -- 5},
  year      = {2010},
  language  = {en}
}
@article{KolditzAlbinBrueggemannetal.2016,
  author    = {Kolditz, Melanie and Albin, Thivaharan and Br{\"u}ggemann, Gert-Peter and Abel, Dirk and Albracht, Kirsten},
  title     = {Robotergest{\"u}tztes System f{\"u}r ein verbessertes neuromuskul{\"a}res Aufbautraining der Beinstrecker},
  series = {at - Automatisierungstechnik},
  volume    = {64},
  journal   = {at - Automatisierungstechnik},
  number    = {11},
  publisher = {De Gruyter},
  address   = {Berlin},
  issn      = {2196-677X},
  doi       = {10.1515/auto-2016-0044},
  pages     = {905 -- 914},
  year      = {2016},
  abstract  = {Neuromuskul{\"a}res Aufbautraining der Beinstrecker ist ein wichtiger Bestandteil in der Rehabilitation und Pr{\"a}vention von Muskel-Skelett-Erkrankungen. Effektives Training erfordert hohe Muskelkr{\"a}fte, die gleichzeitig hohe Belastungen von bereits gesch{\"a}digten Strukturen bedeuten. Um trainingsinduzierte Sch{\"a}digungen zu vermeiden, m{\"u}ssen diese Kr{\"a}fte kontrolliert werden. Mit heutigen Trainingsger{\"a}ten k{\"o}nnen diese Ziele allerdings nicht erreicht werden. F{\"u}r ein sicheres und effektives Training sollen durch den Einsatz der Robotik, Sensorik, eines Regelkreises sowie Muskel-Skelett-Modellen Belastungen am Zielgewebe direkt berechnet und kontrolliert werden. Auf Basis zweier Vorstudien zu m{\"o}glichen Stellgr{\"o}ßen wird der Aufbau eines robotischen Systems vorgestellt, das sowohl f{\"u}r Forschungszwecke als auch zur Entwicklung neuartiger Trainingsger{\"a}te verwendet werden kann.},
  language  = {de}
}
@article{EnningZambouAbel2004,
  author    = {Enning, Manfred and Zambou, Nathan and Abel, Dirk},
  title     = {Nonlinear spacing control of following vehicles within platoon a controlled lagrangian approach / Zambou, Nathan ; Enning, Manfred ; Abel, Dirk},
  series = {NOLCOS, IFAC Symposium on Nonlinear Control Systems},
  journal   = {NOLCOS, IFAC Symposium on Nonlinear Control Systems},
  pages     = {1211 -- 1216},
  year      = {2004},
  language  = {en}
}
@article{EnningGallAbel2008,
  author    = {Enning, Manfred and Gall, Jan and Abel, Dirk},
  title     = {Modellfabrik im Zeichen der Automatisierungstechnik / Gall, Jan ; Enning, Manfred ; Abel, Dirk},
  series = {Automation 2008 - L{\"o}sungen f{\"u}r die Zukunft : der Automatisierungskongress in Deutschland, Tagung Baden-Baden, 3. und 4. Juni 2008 / VDI/VDE-Gesellschaft Mess- und Automatisierungstechnik},
  journal   = {Automation 2008 - L{\"o}sungen f{\"u}r die Zukunft : der Automatisierungskongress in Deutschland, Tagung Baden-Baden, 3. und 4. Juni 2008 / VDI/VDE-Gesellschaft Mess- und Automatisierungstechnik},
  publisher = {VDI-Verl.},
  address   = {D{\"u}sseldorf},
  isbn      = {978-3-18-092032-0},
  pages     = {281 -- 284},
  year      = {2008},
  language  = {de}
}
@incollection{StengerAltherrAbel2019,
  author    = {Stenger, David and Altherr, Lena and Abel, Dirk},
  title     = {Machine learning and metaheuristics for black-box optimization of product families: a case-study investigating solution quality vs. computational overhead},
  series = {Operations Research Proceedings 2018},
  booktitle = {Operations Research Proceedings 2018},
  publisher = {Springer},
  address   = {Cham},
  isbn      = {978-3-030-18499-5 (Print)},
  doi       = {10.1007/978-3-030-18500-8_47},
  pages     = {379 -- 385},
  year      = {2019},
  abstract  = {In product development, numerous design decisions have to be made. Multi-domain virtual prototyping provides a variety of tools to assess technical feasibility of design options, however often requires substantial computational effort for just a single evaluation. A special challenge is therefore the optimal design of product families, which consist of a group of products derived from a common platform. Finding an optimal platform configuration (stating what is shared and what is individually designed for each product) and an optimal design of all products simultaneously leads to a mixed-integer nonlinear black-box optimization model. We present an optimization approach based on metamodels and a metaheuristic. To increase computational efficiency and solution quality, we compare different types of Gaussian process regression metamodels adapted from the domain of machine learning, and combine them with a genetic algorithm. We illustrate our approach on the example of a product family of electrical drives, and investigate the trade-off between solution quality and computational overhead.},
  language  = {en}
}
@inproceedings{KetelhutGoellBraunsteinetal.2019,
  author    = {Ketelhut, Maike and G{\"o}ll, Fabian and Braunstein, Bjoern and Albracht, Kirsten and Abel, Dirk},
  title     = {Iterative learning control of an industrial robot for neuromuscular training},
  series = {2019 IEEE Conference on Control Technology and Applications},
  booktitle = {2019 IEEE Conference on Control Technology and Applications},
  publisher = {IEEE},
  address   = {New York},
  isbn      = {978-1-7281-2767-5 (ePub)},
  doi       = {10.1109/CCTA.2019.8920659},
  pages     = {7 Seiten},
  year      = {2019},
  abstract  = {Effective training requires high muscle forces potentially leading to training-induced injuries. Thus, continuous monitoring and controlling of the loadings applied to the musculoskeletal system along the motion trajectory is required. In this paper, a norm-optimal iterative learning control algorithm for the robot-assisted training is developed. The algorithm aims at minimizing the external knee joint moment, which is commonly used to quantify the loading of the medial compartment. To estimate the external knee joint moment, a musculoskeletal lower extremity model is implemented in OpenSim and coupled with a model of an industrial robot and a force plate mounted at its end-effector. The algorithm is tested in simulation for patients with varus, normal and valgus alignment of the knee. The results show that the algorithm is able to minimize the external knee joint moment in all three cases and converges after less than seven iterations.},
  language  = {en}
}
@inproceedings{KolditzAlbinAlbrachtetal.2016,
  author    = {Kolditz, Melanie and Albin, Thivaharan and Albracht, Kirsten and Br{\"u}ggemann, Gert-Peter and Abel, Dirk},
  title     = {Isokinematic leg extension training with an industrial robot},
  series = {6th IEEE RAS/EMBS International Conference on Biomedical Robotics and Biomechatronics (BioRob) June 26-29, 2016. UTown, Singapore},
  booktitle = {6th IEEE RAS/EMBS International Conference on Biomedical Robotics and Biomechatronics (BioRob) June 26-29, 2016. UTown, Singapore},
  doi       = {10.1109/BIOROB.2016.7523750},
  pages     = {950 -- 955},
  year      = {2016},
  language  = {de}
}
@article{KolditzAlbinAbeletal.2016,
  author    = {Kolditz, Melanie and Albin, Thivaharan and Abel, Dirk and Fasse, Alessandro and Br{\"u}ggemann, Gert-Peter and Albracht, Kirsten},
  title     = {Evaluation of foot position and orientation as manipulated variables to control external knee adduction moments in leg extension training},
  series = {Computer methods and programs in biomedicine},
  volume    = {171},
  journal   = {Computer methods and programs in biomedicine},
  publisher = {Elsevier},
  address   = {Amsterdam},
  issn      = {0169-2607},
  doi       = {10.1016/j.cmpb.2016.09.005},
  pages     = {81 -- 86},
  year      = {2016},
  abstract  = {Background and Objective Effective leg extension training at a leg press requires high forces, which need to be controlled to avoid training-induced damage. In order to avoid high external knee adduction moments, which are one reason for unphysiological loadings on knee joint structures, both training movements and the whole reaction force vector need to be observed. In this study, the applicability of lateral and medial changes in foot orientation and position as possible manipulated variables to control external knee adduction moments is investigated. As secondary parameters both the medio-lateral position of the center of pressure and the frontal-plane orientation of the reaction force vector are analyzed. Methods Knee adduction moments are estimated using a dynamic model of the musculoskeletal system together with the measured reaction force vector and the motion of the subject by solving the inverse kinematic and dynamic problem. Six different foot conditions with varying positions and orientations of the foot in a static leg press are evaluated and compared to a neutral foot position. Results Both lateral and medial wedges under the foot and medial and lateral shifts of the foot can influence external knee adduction moments in the presented study with six healthy subjects. Different effects are observed with the varying conditions: the pose of the leg is changed and the direction and center of pressure of the reaction force vector is influenced. Each effect results in a different direction or center of pressure of the reaction force vector. Conclusions The results allow the conclusion that foot position and orientation can be used as manipulated variables in a control loop to actively control knee adduction moments in leg extension training.},
  language  = {en}
}