DocumentCode
843899
Title
A transformation approach to stochastic model reduction
Author
Desai, Uday B. ; Pal, Debajyoti
Author_Institution
Washington State University, Pullman, WA, USA
Volume
29
Issue
12
fYear
1984
fDate
12/1/1984 12:00:00 AM
Firstpage
1097
Lastpage
1100
Abstract
A new and direct approach to stochastic model reduction is developed. The order reduction algorithm is obtained by establishing an equivalence between canonical correlation analysis and solutions to algebraic Riccati equations. Also the concept of balanced stochastic realization (BSR) plays a fundamental role. Asymptotic stability of the reduced-order realization is established, and spectral domain interpretations for the BSR are given.
Keywords
Algebraic Riccati equation (ARE); Correlations; Linear systems, stochastic; Reduced-order systems, linear; Riccati equations, algebraic; Stochastic systems, linear; Costs; Damping; Equations; Flexible structures; Particle measurements; Position measurement; Reduced order systems; Stochastic processes; Torque; Transfer functions;
fLanguage
English
Journal_Title
Automatic Control, IEEE Transactions on
Publisher
ieee
ISSN
0018-9286
Type
jour
DOI
10.1109/TAC.1984.1103438
Filename
1103438
Link To Document