Application of Conjugate Unscented Transform in source parameters estimation

Author

Madankan, Reza ; Singla, Parveen ; Singh, Taranveer

Author_Institution

Mech. Eng., State Univ. of New York at Buffalo, Buffalo, NY, USA

fYear

2013

fDate

17-19 June 2013

Firstpage

2448

Lastpage

2453

Abstract

A polynomial chaos based minimum variance method is introduced to solve inverse problems. Two different set of quadrature points, Conjugate Unscented Transform and Gauss Legendre quadrature points, are being used to perform the estimation process. The main concentration of this paper is to show the efficiency of Conjugate Unscented Transform points versus Gauss Legendre quadrature scheme. For validation purposes, an advection - diffusion simulation code, SCIPUFF (Second-order Closure Integrated PUFF) is being used as a modeling testbed to study the effect of both these quadrature schemes on solution of an inverse problem. Simulation results show efficiency of Conjugate Unscented Transform versus Gauss-Legendre quadratures.

Keywords

Legendre polynomials; air pollution; chaos; inverse problems; inverse transforms; parameter estimation; Gauss Legendre quadrature points; SCIPUFF; advection-diffusion simulation code; inverse conjugate unscented transform points; inverse problems; modeling testbed; polynomial chaos based minimum variance method; quadrature points; second-order closure integrated PUFF; source parameter estimation process; Chaos; Dispersion; Estimation; Polynomials; Position measurement; Transforms;

fLanguage

English

Publisher

ieee

Conference_Titel

American Control Conference (ACC), 2013

Conference_Location

Washington, DC

ISSN

0743-1619

Print_ISBN

978-1-4799-0177-7

Type

conf

DOI

10.1109/ACC.2013.6580201

Filename

6580201