A compound Extended Kalman Filter for nonlinear systems

被引：0
|
作者：
Fan, WB [1 ]
Zhang, SZ [1 ]
机构：
[1] E China Univ Sci & Technol, Res Inst Automat, Shanghai 200237, Peoples R China
来源：
SYSTEM SIMULATION AND SCIENTIFIC COMPUTING (SHANGHAI), VOLS I AND II | 2002年
关键词：
D O I：
暂无
中图分类号：
TP31 [计算机软件];
学科分类号：
081202 ; 0835 ;
摘要：
This paper deals with the problem of compound Extended Kalman Filter with nonlinear model errors and noise statistical characteristic errors. With the adoption of fictitious noise compensation technique and actual non-divergent computation method, a new scheme of compound Extended Kalman Filter is presented, which modifies the two above technique to apply into nonlinear systems. The effectiveness of the proposed method is demonstrated by simulation examples.
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页码：192 / 196
页数：5
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