Title :
Identification of linear systems via canonical correlation analysis
Author :
Toker, K.G. ; Ozkazanc, Y.
Author_Institution :
Elektrik ve Elektron. Muhendisligi Bolumu, Hacettepe Univ., Ankara, Turkey
Abstract :
In this paper, canonical correlation analysis is introduced for linear system identification. By taking into account the structural similarities between difference equation representation of a linear discrete time system and canonical correlation analysis, it is shown that canonical correlation analysis can be used for system identification. The proposed identification method is studied via analytical and experimental examples.
Keywords :
correlation methods; difference equations; discrete time systems; identification; linear systems; canonical correlation analysis; difference equation representation; linear discrete time system; linear system identification method; structural similarities; Correlation; Difference equations; Discrete-time systems; Linear systems; MATLAB; Mathematical model; Rivers; Canonical Correlation Analysis; System Identification;
Conference_Titel :
Signal Processing and Communications Applications Conference (SIU), 2013 21st
Conference_Location :
Haspolat
Print_ISBN :
978-1-4673-5562-9
Electronic_ISBN :
978-1-4673-5561-2
DOI :
10.1109/SIU.2013.6531168
