Application of fuzzy sets theory in process data filtering

Hsin Han Chiang; Shinq Jen Wu; Tsu Tian Lee

Application of fuzzy sets theory in process data filtering

Hsin Han Chiang^*, Shinq Jen Wu, Tsu Tian Lee

^*此作品的通信作者

研究成果: 會議貢獻類型 › 會議論文 › 同行評審

摘要

The application of fuzzy sets theory in process data filtering was discussed. A fuzzy approach for system identification and state estimation was developed. Analysis showed that the fuzzy-data based estimator (FBE) provided better performance than those of various modified Kalman filter (KF) without the need of priori information on the nature of noise.

原文	英語
頁面	325-330
頁數	6
出版狀態	已發佈 - 2003
對外發佈	是
事件	The IEEE International conference on Fuzzy Systems - St. Louis, MO, 美国持續時間: 2003 5月 25 → 2003 5月 28

會議

會議	The IEEE International conference on Fuzzy Systems
國家/地區	美国
城市	St. Louis, MO
期間	2003/05/25 → 2003/05/28

ASJC Scopus subject areas

軟體
理論電腦科學
人工智慧
應用數學

其它文件與鏈接

引用此

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title = "Application of fuzzy sets theory in process data filtering",

abstract = "The application of fuzzy sets theory in process data filtering was discussed. A fuzzy approach for system identification and state estimation was developed. Analysis showed that the fuzzy-data based estimator (FBE) provided better performance than those of various modified Kalman filter (KF) without the need of priori information on the nature of noise.",

keywords = "Filtering, Fuzzy sets theory, Kalman filter, Takagi-Sugeno (T-S) fuzzy model",

author = "Chiang, {Hsin Han} and Wu, {Shinq Jen} and Lee, {Tsu Tian}",

year = "2003",

language = "English",

pages = "325--330",

note = "The IEEE International conference on Fuzzy Systems ; Conference date: 25-05-2003 Through 28-05-2003",

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TY - CONF

T1 - Application of fuzzy sets theory in process data filtering

AU - Chiang, Hsin Han

AU - Wu, Shinq Jen

AU - Lee, Tsu Tian

PY - 2003

Y1 - 2003

N2 - The application of fuzzy sets theory in process data filtering was discussed. A fuzzy approach for system identification and state estimation was developed. Analysis showed that the fuzzy-data based estimator (FBE) provided better performance than those of various modified Kalman filter (KF) without the need of priori information on the nature of noise.

AB - The application of fuzzy sets theory in process data filtering was discussed. A fuzzy approach for system identification and state estimation was developed. Analysis showed that the fuzzy-data based estimator (FBE) provided better performance than those of various modified Kalman filter (KF) without the need of priori information on the nature of noise.

KW - Filtering

KW - Fuzzy sets theory

KW - Kalman filter

KW - Takagi-Sugeno (T-S) fuzzy model

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UR - http://www.scopus.com/inward/citedby.url?scp=0038537562&partnerID=8YFLogxK

M3 - Paper

AN - SCOPUS:0038537562

SP - 325

EP - 330

T2 - The IEEE International conference on Fuzzy Systems

Y2 - 25 May 2003 through 28 May 2003

ER -

Application of fuzzy sets theory in process data filtering

摘要

會議

ASJC Scopus subject areas

其它文件與鏈接

指紋

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