On a hybrid Kalman filtering algorithm

Zhengyin Fan; Guanrong Chen; Leang San Shieh; Ching Fang Lin

On a hybrid Kalman filtering algorithm

Zhengyin Fan
, Guanrong Chen
, Leang San Shieh
, Ching Fang Lin

Research output: Journal Publications and Reviews › RGC 22 - Publication in policy or professional journal

Abstract

A suboptimal Kalman-filter-type recursive estimation algorithm is developed for a given hybrid system, which eventually evolves to include dynamic systems with mild nonlinearity. Computer simulations are carried out to verify the developed filtering scheme with some comparison. It shows that the new algorithm is an effective option for hybrid system filtering.

Original language	English
Pages (from-to)	191-200
Journal	Journal of the Chinese Institute of Electrical Engineering, Transactions of the Chinese Institute of Engineers, Series E/Chung KuoTien Chi Kung Chieng Hsueh K'an
Volume	9
Issue number	3
Publication status	Published - Aug 2002
Externally published	Yes

Research Keywords

Hybrid system
Kalman filtering
Suboptimal estimation
System identification

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title = "On a hybrid Kalman filtering algorithm",

abstract = "A suboptimal Kalman-filter-type recursive estimation algorithm is developed for a given hybrid system, which eventually evolves to include dynamic systems with mild nonlinearity. Computer simulations are carried out to verify the developed filtering scheme with some comparison. It shows that the new algorithm is an effective option for hybrid system filtering.",

keywords = "Hybrid system, Kalman filtering, Suboptimal estimation, System identification",

author = "Zhengyin Fan and Guanrong Chen and Shieh, \{Leang San\} and Lin, \{Ching Fang\}",

year = "2002",

month = aug,

language = "English",

volume = "9",

pages = "191--200",

journal = "Journal of the Chinese Institute of Electrical Engineering, Transactions of the Chinese Institute of Engineers, Series E/Chung KuoTien Chi Kung Chieng Hsueh K'an",

issn = "1023-4462",

publisher = "Chinese Institute of Engineers",

number = "3",

}

On a hybrid Kalman filtering algorithm. / Fan, Zhengyin; Chen, Guanrong; Shieh, Leang San et al.
In: Journal of the Chinese Institute of Electrical Engineering, Transactions of the Chinese Institute of Engineers, Series E/Chung KuoTien Chi Kung Chieng Hsueh K'an, Vol. 9, No. 3, 08.2002, p. 191-200.

Research output: Journal Publications and Reviews › RGC 22 - Publication in policy or professional journal

TY - JOUR

T1 - On a hybrid Kalman filtering algorithm

AU - Fan, Zhengyin

AU - Chen, Guanrong

AU - Shieh, Leang San

AU - Lin, Ching Fang

PY - 2002/8

Y1 - 2002/8

N2 - A suboptimal Kalman-filter-type recursive estimation algorithm is developed for a given hybrid system, which eventually evolves to include dynamic systems with mild nonlinearity. Computer simulations are carried out to verify the developed filtering scheme with some comparison. It shows that the new algorithm is an effective option for hybrid system filtering.

AB - A suboptimal Kalman-filter-type recursive estimation algorithm is developed for a given hybrid system, which eventually evolves to include dynamic systems with mild nonlinearity. Computer simulations are carried out to verify the developed filtering scheme with some comparison. It shows that the new algorithm is an effective option for hybrid system filtering.

KW - Hybrid system

KW - Kalman filtering

KW - Suboptimal estimation

KW - System identification

UR - https://www.scopus.com/pages/publications/0036685126

UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-0036685126&origin=recordpage

M3 - RGC 22 - Publication in policy or professional journal

SN - 1023-4462

VL - 9

SP - 191

EP - 200

JO - Journal of the Chinese Institute of Electrical Engineering, Transactions of the Chinese Institute of Engineers, Series E/Chung KuoTien Chi Kung Chieng Hsueh K'an

JF - Journal of the Chinese Institute of Electrical Engineering, Transactions of the Chinese Institute of Engineers, Series E/Chung KuoTien Chi Kung Chieng Hsueh K'an

IS - 3

ER -

On a hybrid Kalman filtering algorithm

Abstract

Research Keywords

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