Fault accommodation based on fuzzy basis function network

Hua Song; Junxiang Zhang; Hongyue Zhang

Fault accommodation based on fuzzy basis function network

Hua Song^*
, Junxiang Zhang
, Hongyue Zhang

^*Corresponding author for this work

School of Automation Science and Electrical Engineering

Beihang University

Research output: Contribution to conference › Paper › peer-review

Abstract

An approach for fault detection and accommodation based on fuzzy basis function network (FBFN) is presented in this paper. The fault information is detected by using a FBFN according to the outputs of the real system and the known mathematical model of system. In order to accommodating the faults and following the outputs of the known mathematical model, another FBFN is used to obtain the feedback control input according to fault information. A simulation example of microwave landing system in an aircraft is given for illustration.

Original language	English
Pages	1793-1797
Number of pages	5
State	Published - 2004
Event	WCICA 2004 - Fifth World Congress on Intelligent Control and Automation, Conference Proceedings - Hangzhou, China Duration: 15 Jun 2004 → 19 Jun 2004

Conference

Conference	WCICA 2004 - Fifth World Congress on Intelligent Control and Automation, Conference Proceedings
Country/Territory	China
City	Hangzhou
Period	15/06/04 → 19/06/04

Keywords

Fault accommodation
Fault detection
Fuzzy basis function network
Microwave landing system

Cite this

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title = "Fault accommodation based on fuzzy basis function network",

abstract = "An approach for fault detection and accommodation based on fuzzy basis function network (FBFN) is presented in this paper. The fault information is detected by using a FBFN according to the outputs of the real system and the known mathematical model of system. In order to accommodating the faults and following the outputs of the known mathematical model, another FBFN is used to obtain the feedback control input according to fault information. A simulation example of microwave landing system in an aircraft is given for illustration.",

keywords = "Fault accommodation, Fault detection, Fuzzy basis function network, Microwave landing system",

author = "Hua Song and Junxiang Zhang and Hongyue Zhang",

year = "2004",

language = "英语",

pages = "1793--1797",

note = "WCICA 2004 - Fifth World Congress on Intelligent Control and Automation, Conference Proceedings ; Conference date: 15-06-2004 Through 19-06-2004",

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T1 - Fault accommodation based on fuzzy basis function network

AU - Song, Hua

AU - Zhang, Junxiang

AU - Zhang, Hongyue

PY - 2004

Y1 - 2004

N2 - An approach for fault detection and accommodation based on fuzzy basis function network (FBFN) is presented in this paper. The fault information is detected by using a FBFN according to the outputs of the real system and the known mathematical model of system. In order to accommodating the faults and following the outputs of the known mathematical model, another FBFN is used to obtain the feedback control input according to fault information. A simulation example of microwave landing system in an aircraft is given for illustration.

AB - An approach for fault detection and accommodation based on fuzzy basis function network (FBFN) is presented in this paper. The fault information is detected by using a FBFN according to the outputs of the real system and the known mathematical model of system. In order to accommodating the faults and following the outputs of the known mathematical model, another FBFN is used to obtain the feedback control input according to fault information. A simulation example of microwave landing system in an aircraft is given for illustration.

KW - Fault accommodation

KW - Fault detection

KW - Fuzzy basis function network

KW - Microwave landing system

UR - https://www.scopus.com/pages/publications/4444295758

M3 - 论文

AN - SCOPUS:4444295758

SP - 1793

EP - 1797

T2 - WCICA 2004 - Fifth World Congress on Intelligent Control and Automation, Conference Proceedings

Y2 - 15 June 2004 through 19 June 2004

ER -

Fault accommodation based on fuzzy basis function network

Abstract

Conference

Keywords

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