2009
DOI: 10.1016/j.camwa.2008.10.032
|View full text |Cite
|
Sign up to set email alerts
|

Design and analysis of robust fault detection filter using LMI tools

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1
1

Citation Types

0
42
0
4

Year Published

2011
2011
2020
2020

Publication Types

Select...
8
1

Relationship

0
9

Authors

Journals

citations
Cited by 78 publications
(46 citation statements)
references
References 9 publications
0
42
0
4
Order By: Relevance
“…Definition 1: For a map from to in (3), the performance is defined by [9] For a map from to , the performance is defined by Definition 2: Let the evaluation function be and the threshold function be (4) where is the constant time window. In cases where it is necessary to display explicitly the association of and with the residual from the th observer, we write and , respectively.…”
Section: Preliminariesmentioning
confidence: 99%
See 1 more Smart Citation
“…Definition 1: For a map from to in (3), the performance is defined by [9] For a map from to , the performance is defined by Definition 2: Let the evaluation function be and the threshold function be (4) where is the constant time window. In cases where it is necessary to display explicitly the association of and with the residual from the th observer, we write and , respectively.…”
Section: Preliminariesmentioning
confidence: 99%
“…A simple yet effective alternative could be a scheme via an observer bank, where as many observers as sensors are involved [5]. The residual generated by each observer in the bank should be as sensitive to the faults on all sensors except each one and as robust against disturbance, as possible, in a reasonable (for example, an and an [6][7][8][9][10]) sense. Then the fault can be isolated based on a suitable voting scheme [5,11].…”
Section: Introductionmentioning
confidence: 99%
“…대표적인 연구 성 과로는 모델 기반의 해석적 중복(analytic redundancy) 기 법이 있다 [1][2][3][4][5][6][7][8][9][10]. 해석적 중복 기법은 관측기로부터 추정 된 시스템의 상태 오차에 적절한 가중치를 두어 여분 (residual)을 계산하고 여분 평가 함수와 주어진 문턱 값을 비교하여 고장 여부를 판단하는 방법이다 [1,2] …”
Section: 서 론unclassified
“…하지만 이러한 중요성에도 불구하고 고장포용 제어 기 법은 고장진단 기술에 비하여 아직 다양한 연구가 이루어지 지 않았다 [2][3][4][5][6][7]. 제어기의 고장포용 성능은 특히 다개체 무인항공기(UAV: He{ } :…”
Section: 서론 고장포용 제어는 시스템에 고장이 발생하더라도 제어시스 템의 성능을 유지시키기 위한 제어 기법이다unclassified