An LMI approach to robust fault detection filter design for uncertain state-delayed systems

Hongru Wang; Changhong Wang; Huijun Gao

doi:10.1007/11739685_12

An LMI approach to robust fault detection filter design for uncertain state-delayed systems

Hongru Wang^*
, Changhong Wang
, Huijun Gao

^*Corresponding author for this work

School of Astronautics

Harbin Institute of Technology

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

3 Scopus citations

Abstract

This contribution investigates the problem of robust fault detection and isolation for a class of state-delayed systems with norm-bounded uncertainties and unknown inputs. Attention is focused on formulating the design of robust fault detection filter as H_∞ filtering problem and designing the adaptive threshold. The existence condition of the above filters, which can guarantee the prescribed performance index, is established by means of linear matrix inequalities. A numerical example is employed to demonstrate the effectiveness of the proposed approach.

Original language	English
Title of host publication	Advances in Machine Learning and Cybernetics - 4th International Conference, ICMLC 2005, Revised Selected Papers
Publisher	Springer Verlag
Pages	112-121
Number of pages	10
ISBN (Print)	3540335846, 9783540335849
DOIs	https://doi.org/10.1007/11739685_12
State	Published - 2006
Event	4th International Conference on Machine Learning and Cybernetics, ICMLC 2005 - Guangzhou, China Duration: 18 Aug 2005 → 21 Aug 2005

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	3930 LNAI
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	4th International Conference on Machine Learning and Cybernetics, ICMLC 2005
Country/Territory	China
City	Guangzhou
Period	18/08/05 → 21/08/05

Access to Document

10.1007/11739685_12

Cite this

Wang, H., Wang, C., & Gao, H. (2006). An LMI approach to robust fault detection filter design for uncertain state-delayed systems. In Advances in Machine Learning and Cybernetics - 4th International Conference, ICMLC 2005, Revised Selected Papers (pp. 112-121). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 3930 LNAI). Springer Verlag. https://doi.org/10.1007/11739685_12

Wang, Hongru ; Wang, Changhong ; Gao, Huijun. / An LMI approach to robust fault detection filter design for uncertain state-delayed systems. Advances in Machine Learning and Cybernetics - 4th International Conference, ICMLC 2005, Revised Selected Papers. Springer Verlag, 2006. pp. 112-121 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

@inproceedings{a2bf8d984c8c475fb3a596c809e38b70,

title = "An LMI approach to robust fault detection filter design for uncertain state-delayed systems",

abstract = "This contribution investigates the problem of robust fault detection and isolation for a class of state-delayed systems with norm-bounded uncertainties and unknown inputs. Attention is focused on formulating the design of robust fault detection filter as H∞ filtering problem and designing the adaptive threshold. The existence condition of the above filters, which can guarantee the prescribed performance index, is established by means of linear matrix inequalities. A numerical example is employed to demonstrate the effectiveness of the proposed approach.",

author = "Hongru Wang and Changhong Wang and Huijun Gao",

year = "2006",

doi = "10.1007/11739685\_12",

language = "英语",

isbn = "3540335846",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

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pages = "112--121",

booktitle = "Advances in Machine Learning and Cybernetics - 4th International Conference, ICMLC 2005, Revised Selected Papers",

address = "德国",

note = "4th International Conference on Machine Learning and Cybernetics, ICMLC 2005 ; Conference date: 18-08-2005 Through 21-08-2005",

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Wang, H, Wang, C & Gao, H 2006, An LMI approach to robust fault detection filter design for uncertain state-delayed systems. in Advances in Machine Learning and Cybernetics - 4th International Conference, ICMLC 2005, Revised Selected Papers. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 3930 LNAI, Springer Verlag, pp. 112-121, 4th International Conference on Machine Learning and Cybernetics, ICMLC 2005, Guangzhou, China, 18/08/05. https://doi.org/10.1007/11739685_12

An LMI approach to robust fault detection filter design for uncertain state-delayed systems. / Wang, Hongru; Wang, Changhong ; Gao, Huijun.
Advances in Machine Learning and Cybernetics - 4th International Conference, ICMLC 2005, Revised Selected Papers. Springer Verlag, 2006. p. 112-121 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 3930 LNAI).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Wang, Changhong

AU - Gao, Huijun

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N2 - This contribution investigates the problem of robust fault detection and isolation for a class of state-delayed systems with norm-bounded uncertainties and unknown inputs. Attention is focused on formulating the design of robust fault detection filter as H∞ filtering problem and designing the adaptive threshold. The existence condition of the above filters, which can guarantee the prescribed performance index, is established by means of linear matrix inequalities. A numerical example is employed to demonstrate the effectiveness of the proposed approach.

AB - This contribution investigates the problem of robust fault detection and isolation for a class of state-delayed systems with norm-bounded uncertainties and unknown inputs. Attention is focused on formulating the design of robust fault detection filter as H∞ filtering problem and designing the adaptive threshold. The existence condition of the above filters, which can guarantee the prescribed performance index, is established by means of linear matrix inequalities. A numerical example is employed to demonstrate the effectiveness of the proposed approach.

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DO - 10.1007/11739685_12

M3 - 会议稿件

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SN - 3540335846

SN - 9783540335849

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

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BT - Advances in Machine Learning and Cybernetics - 4th International Conference, ICMLC 2005, Revised Selected Papers

PB - Springer Verlag

T2 - 4th International Conference on Machine Learning and Cybernetics, ICMLC 2005

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ER -

Wang H, Wang C , Gao H. An LMI approach to robust fault detection filter design for uncertain state-delayed systems. In Advances in Machine Learning and Cybernetics - 4th International Conference, ICMLC 2005, Revised Selected Papers. Springer Verlag. 2006. p. 112-121. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/11739685_12

An LMI approach to robust fault detection filter design for uncertain state-delayed systems

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