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Real-Time Control of the Heating of an Airfoil
Author(s) -
Francoise Rétat-Masson,
Francisco Chinesta,
Adrien Leygue,
Elías Cueto,
Laurent Dala,
Craig Law
Publication year - 2012
Publication title -
volume 1: advanced computational mechanics; advanced simulation-based engineering sciences; virtual and augmented reality; applied solid mechanics and material processing; dynamical systems and control
Language(s) - English
Resource type - Conference proceedings
DOI - 10.1115/esda2012-82460
Subject(s) - airfoil , computer science , solver , computation , curse of dimensionality , dynamic mode decomposition , process (computing) , decomposition , limit (mathematics) , line (geometry) , computational science , algorithm , aerospace engineering , engineering , artificial intelligence , mathematics , ecology , mathematical analysis , geometry , machine learning , biology , programming language , operating system
International audienceDynamic Data-Driven Application Systems constitute nowadays one of the most challenging applications of simulation-based Engineering Science [1]. DDDAS imply a set of techniques that allow the linkage of simulation tools with measurement devices for real-time control of systems and processes [2]. DDDAS entails the ability to dynamically incorporate additional data into an executing application, and in reverse, the ability of an application to dynamically steer the measurement process. These systems need accurate and fast simulation tools, hence the off-line computations to limit as much as possible the on-line computations. In order to obtain the most efficient solver, all the sources of variability are introduced as extra-coordinates as to solve only once the model off-line to obtain its most general solution to be then considered in on-line purpose. However, such models result defined in highly multidimensional spaces. A technique recently proposed, called Proper Generalized Decomposition [3], allows circumventing this redoubtable curse of dimensionality

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