DocumentCode
736522
Title
The filter design based on multiple characteristic functions in nonlinear systems
Author
Xingshuo, Cheng ; Chenglin, Wen
Author_Institution
Institute of Systems Science and Control Engineering, School of Automation, Hangzhou Dianzi University, Hangzhou 310018, P.R. China
fYear
2015
fDate
28-30 July 2015
Firstpage
4818
Lastpage
4822
Abstract
The filter design for non-Gaussian systems has received considerable attention recently. However, it is difficult to do this because of its high computational complexity. For non-Gaussian systems, many filter design methods have been proposed based on Multiple characteristic functions. Unfortunately, these methods cannot be extended to the system that state is nonlinear. In this paper, we propose a filter design method for this system. The key of the proposed method is to linearize the state equation of the systems. Then we use the idea of filter based on characteristic functions. Finally, simulation results are presented to illustrate the effectiveness of the proposed method.
Keywords
Estimation error; Kalman filters; Mathematical model; Noise; Nonlinear systems; Probability density function; Target tracking; Characteristic Function; Nominal Trajectory; Non-Gaussian Systems; Nonlinear State Function;
fLanguage
English
Publisher
ieee
Conference_Titel
Control Conference (CCC), 2015 34th Chinese
Conference_Location
Hangzhou, China
Type
conf
DOI
10.1109/ChiCC.2015.7260385
Filename
7260385
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