Innovation filtering interacting multiple model noise identification algorithm

Zhen Ding; Quan Pan; Hongcai Zhang; Guanzhong Dai

Innovation filtering interacting multiple model noise identification algorithm

Zhen Ding, Quan Pan, Hongcai Zhang, Guanzhong Dai

School of Automation

Northwestern Polytechnical University Xian

Research output: Contribution to journal › Article › peer-review

1 Scopus citations

Abstract

This paper presents a new noise identification algorithm for hybrid system. The new algorithm combines the innovation filtering and the interacting multiple model algorithm. The former decreases the sensitivity of probabilistic weightings to measurement noise and the later implements dynamic interaction and dynamic changing of multiple modes based on the Markovian chain process of the system models. Simulation results show the effectiveness of the new algorithm.

Original language	English
Pages (from-to)	95-98
Number of pages	4
Journal	Tien Tzu Hsueh Pao/Acta Electronica Sinica
Volume	25
Issue number	5
State	Published - May 1997

Cite this

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title = "Innovation filtering interacting multiple model noise identification algorithm",

abstract = "This paper presents a new noise identification algorithm for hybrid system. The new algorithm combines the innovation filtering and the interacting multiple model algorithm. The former decreases the sensitivity of probabilistic weightings to measurement noise and the later implements dynamic interaction and dynamic changing of multiple modes based on the Markovian chain process of the system models. Simulation results show the effectiveness of the new algorithm.",

author = "Zhen Ding and Quan Pan and Hongcai Zhang and Guanzhong Dai",

year = "1997",

month = may,

language = "英语",

volume = "25",

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journal = "Tien Tzu Hsueh Pao/Acta Electronica Sinica",

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publisher = "Chinese Institute of Electronics",

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T1 - Innovation filtering interacting multiple model noise identification algorithm

AU - Ding, Zhen

AU - Pan, Quan

AU - Zhang, Hongcai

AU - Dai, Guanzhong

PY - 1997/5

Y1 - 1997/5

N2 - This paper presents a new noise identification algorithm for hybrid system. The new algorithm combines the innovation filtering and the interacting multiple model algorithm. The former decreases the sensitivity of probabilistic weightings to measurement noise and the later implements dynamic interaction and dynamic changing of multiple modes based on the Markovian chain process of the system models. Simulation results show the effectiveness of the new algorithm.

AB - This paper presents a new noise identification algorithm for hybrid system. The new algorithm combines the innovation filtering and the interacting multiple model algorithm. The former decreases the sensitivity of probabilistic weightings to measurement noise and the later implements dynamic interaction and dynamic changing of multiple modes based on the Markovian chain process of the system models. Simulation results show the effectiveness of the new algorithm.

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M3 - 文章

AN - SCOPUS:0031130208

SN - 0372-2112

VL - 25

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EP - 98

JO - Tien Tzu Hsueh Pao/Acta Electronica Sinica

JF - Tien Tzu Hsueh Pao/Acta Electronica Sinica

IS - 5

ER -

Innovation filtering interacting multiple model noise identification algorithm

Abstract

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