Gregor Goebel

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In this paper we propose a method of obtaining and employing state dependent parametrizations in order to reduce the on-line computational load in linear model predictive control (MPC). At the core of our results is the application of a data mining algorithm off-line to obtain a number of suitable parametrizations to approximate solutions of the MPC(More)
A new type of parametrizations is proposed which allows to reduce the size of the online optimization in linear MPC. The parametrizations combine a first part ensuring feasibility and asymptotic stability of the closed loop and a second part promoting performance. The performance promoting part is determined a priori offline based on a data mining algorithm(More)
  • T Rammer, Wallnöfer R, Pfeiffer Kp, G Göbel
  • 2009
We present a concept to annotate medical content with ontology based annotations. This approach can improve the usability of web-oriented presentations of medical content for different types of user groups. In our case we use an ontology designed for barrier-free web-presentations, which supports disabled or elderly people in navigating complex websites.
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