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Christoph Ament
Researcher at Technische Universität Ilmenau
Publications - 77
Citations - 681
Christoph Ament is an academic researcher from Technische Universität Ilmenau. The author has contributed to research in topics: Kinematics & Recommender system. The author has an hindex of 12, co-authored 66 publications receiving 580 citations. Previous affiliations of Christoph Ament include Analysis Group.
Papers
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Journal ArticleDOI
Control of Formations of UAVs for Surveillance and Reconnaissance Missions
TL;DR: The novelty in the approach in this paper is the description of formations of UAVs used in combination with MIQP to change formations, to add additional Uavs into an existing formation and to split formations, simply by changing some parameters in the descriptions of the formation.
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High Precision Position Control Using an Adaptive Friction Compensation Approach
TL;DR: A trajectory tracking controller is developed which is able to improve clearly the dynamical performance of a high precision positioning stage and the extended friction model is utilized in a feed-forward controller in combination with a standard feedback controller to compensate for the effects of the friction force and other disturbances while moving.
Journal ArticleDOI
The Unscented Kalman Filter estimates the plasma insulin from glucose measurement.
Claudia Eberle,Christoph Ament +1 more
TL;DR: A novel approach using an Unscented Kalman Filter that provides an estimate of the current plasma insulin concentration is presented, which operates on the measurement of the plasma glucose and Bergman's Minimal Model of the glucose insulin homeostasis.
Journal ArticleDOI
First testing of an AUV mission planning and guidance system for water quality monitoring and fish behavior observation in net cage fish farming
Divas Karimanzira,Marco Jacobi,Torsten Pfuetzenreuter,Thomas Rauschenbach,Mike Eichhorn,Ralf Taubert,Christoph Ament +6 more
TL;DR: In this article, a guidance system for a carrier (an autonomous underwater vehicle) of such devices for the automated detection and analysis of water quality parameters is presented, which can detect the water quality in a large sea area at different depths in real time.
Journal ArticleDOI
Modular AUV System with Integrated Real-Time Water Quality Analysis.
Mike Eichhorn,Christoph Ament,Marco Jacobi,Torsten Pfuetzenreuter,Divas Karimanzira,Kornelia Dipl.-Biol. Bley,Michael Dipl.-Ing. Boer,Henning Wehde +7 more
TL;DR: The concept presented illustrates how the measurement system can be integrated easily into the vehicle with a minimum of hard- and software technical interfaces.