DocumentCode :
574385
Title :
The Conjugate Unscented Transform — An approach to evaluate multi-dimensional expectation integrals
Author :
Adurthi, Nagavenkat ; Singla, Parveen ; Singh, Taranveer
Author_Institution :
Univ. at Buffalo, The State Univ. of New York, Amherst, NY, USA
fYear :
2012
fDate :
27-29 June 2012
Firstpage :
5556
Lastpage :
5561
Abstract :
This paper presents an extension to the unscented transformation to evaluate expectation integrals in general N-dimensional space by satisfying higher order moment equations. New sets of sigma points are defined to satisfy moment equations up to eighth order. The proposed methodology can be used as an efficient alternative to Gaussian quadrature rule with significantly reduced number of function evaluations but without any loss in accuracy. Numerical simulation results illustrates the effectiveness of the proposed methodology in computing high dimension expectation integrals with significantly reduced number of function evaluations.
Keywords :
Gaussian processes; integration; multidimensional systems; transforms; Gaussian quadrature rule; conjugate unscented transform; function evaluations; general n-dimensional space; higher order moment equations; multidimensional expectation integral evaluation; Approximation methods; Integral equations; Manganese; Mathematical model; Polynomials; Transforms;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
American Control Conference (ACC), 2012
Conference_Location :
Montreal, QC
ISSN :
0743-1619
Print_ISBN :
978-1-4577-1095-7
Electronic_ISBN :
0743-1619
Type :
conf
DOI :
10.1109/ACC.2012.6314970
Filename :
6314970
Link To Document :
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