DocumentCode :
3612993
Title :
Optimal surrogates selection for embedded, hierarchical multilevel aircraft models
Author :
Bondouy, Manon ; Jan, Sophie ; Laporte, Serge ; Bes, Christian
Author_Institution :
Aircraft Performance, Airbus, Toulouse, France
Volume :
51
Issue :
4
fYear :
2015
Firstpage :
3415
Lastpage :
3426
Abstract :
This study proposes a methodology that reduces the memory size of hierarchical multilevel embedded models while keeping its structure and satisfying constraints on accuracy and computation time. Based on a choice among surrogates (high dimensional model representation, neural networks, etc.) associated with each submodel, an overall hierarchical multilevel model that fulfills avionics systems requirements is provided via the resolution of an integer programming problem. This methodology is illustrated on a fuel model used for aircraft performance estimations.
Keywords :
aircraft; embedded systems; integer programming; aircraft performance estimations; avionics systems requirements; embedded aircraft models; hierarchical multilevel aircraft models; integer programming problem; memory size; optimal surrogates selection; Aerospace electronics; Aircraft; Atmospheric modeling; Computational modeling; Fuels; Linear programming; Real-time systems;
fLanguage :
English
Journal_Title :
Aerospace and Electronic Systems, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9251
Type :
jour
DOI :
10.1109/TAES.2015.140309
Filename :
7376264
Link To Document :
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