Open AccessSubspace identification with multiple data sets
Author(s) -
Laurent Duchesne,
Éric Féron,
James Paduano,
Marty Brenner
Publication year - 1996
Publication title -
guidance, navigation, and control conference
Language(s) - English
Resource type - Conference proceedings
DOI - 10.2514/6.1996-3716
Subject(s) - identification (biology) , computer science , subspace topology , artificial intelligence , pattern recognition (psychology) , data mining , biology , botany
Most existing subspace identification algorithms assume that a single input to output data set is available. Motivated by a real life problem on the F18-SRA experimental aircraft, we show how these algorithms are readily adapted to handle multiple data sets. We show by means of an example the relevance of such an improvement.
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