DocumentCode
2391499
Title
Sanger’s type dynamical systems for canonical variate analysis
Author
Hasan, Mohammed A. ; Hasan, Jawad A K
Author_Institution
Dept. of Electr. Sz Comput. Eng., Minnesota Duluth Univ., Duluth, MN
fYear
2008
fDate
11-13 June 2008
Firstpage
4087
Lastpage
4092
Abstract
In this paper, several dynamical systems for computing canonical correlations and canonical variates are proposed. These systems are shown to converge to the actual components rather than to a subspace spanned by these components. Using Liapunov stability theory, qualitative properties of the proposed systems are analyzed in detail including the limit of solutions as time approaches infinity.
Keywords
Lyapunov methods; statistical analysis; Lyapunov stability theory; Sanger type dynamical system; canonical variate analysis; polynomial dynamical system; Asymptotic stability; Biomedical computing; Control systems; Data analysis; H infinity control; Lyapunov method; Matrix decomposition; Polynomials; Singular value decomposition; Stability analysis; Lasalle invariance principle; Lyapunov stability; asymptotic stability; canonical correlation analysis; global convergence; global stability; invariant set; polynomial dynamical systems;
fLanguage
English
Publisher
ieee
Conference_Titel
American Control Conference, 2008
Conference_Location
Seattle, WA
ISSN
0743-1619
Print_ISBN
978-1-4244-2078-0
Electronic_ISBN
0743-1619
Type
conf
DOI
10.1109/ACC.2008.4587133
Filename
4587133
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