Subspace identification with multiple data sets

Laurent Duchesne, Eric Feron, James D. Paduano, Marty Brenner

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations


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.
Original languageEnglish (US)
Title of host publication1996 Guidance, Navigation, and Control Conference and Exhibit
PublisherAmerican Institute of Aeronautics and Astronautics Inc, AIAA
Number of pages9
StatePublished - Jan 1 1996
Externally publishedYes


Dive into the research topics of 'Subspace identification with multiple data sets'. Together they form a unique fingerprint.

Cite this