DocumentCode
645986
Title
A convergence result for the unscented Kalman-Bucy filter using contraction theory
Author
Maree, J.P. ; Imsland, Lars ; Jouffroy, Jerome
Author_Institution
Dept. of Eng. Cybern., Norwegian Univ. of Sci. & Technol., Trondheim, Norway
fYear
2013
fDate
17-19 July 2013
Firstpage
2134
Lastpage
2139
Abstract
This paper applies contraction theory to establish necessary conditions for contraction, hence, exponential convergence of the unscented Kalman-Bucy Filter. It follows that regions of contraction can subsequently be defined, given such necessary conditions. Both state and measurement models are Itô-type stochastic differential equations. By employing a virtual/actual system framework, a special relation is established between sigma-point dynamics, and observed process states, with respect to contraction and convergence. The proposed theory is illustrated on an isothermal, non-linear CSTR process.
Keywords
Kalman filters; nonlinear filters; Ito-type stochastic differential equations; continuous stirred tank reaction process; contraction theory; convergence result; exponential convergence; isothermal nonlinear CSTR process; necessary conditions; sigma-point dynamics; unscented Kalman-Bucy filter; virtual-actual system framework; Convergence; Covariance matrices; Kalman filters; Measurement; Noise; Stability analysis; Stochastic processes;
fLanguage
English
Publisher
ieee
Conference_Titel
Control Conference (ECC), 2013 European
Conference_Location
Zurich
Type
conf
Filename
6669183
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