A risk adjusted approach to robust simultaneous fault detection and isolation

Wenjing Ma; Mario Sznaier; Constantino Lagoa

doi:10.1016/j.automatica.2006.09.012

A risk adjusted approach to robust simultaneous fault detection and isolation

Wenjing Ma
, Mario Sznaier
, Constantino Lagoa

Electrical Engineering

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

17 Scopus citations

Abstract

This paper addresses the problem of detecting and isolating faults in noisy MIMO uncertain-systems, subject to structured dynamic uncertainty. Its main result shows that this problem can be efficiently solved using a combination of sampling and LMI optimization tools. These results are illustrated with two examples and benchmarked against existing methods.

Original language	English (US)
Pages (from-to)	499-504
Number of pages	6
Journal	Automatica
Volume	43
Issue number	3
DOIs	https://doi.org/10.1016/j.automatica.2006.09.012
State	Published - Mar 2007

All Science Journal Classification (ASJC) codes

Control and Systems Engineering
Electrical and Electronic Engineering

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10.1016/j.automatica.2006.09.012

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abstract = "This paper addresses the problem of detecting and isolating faults in noisy MIMO uncertain-systems, subject to structured dynamic uncertainty. Its main result shows that this problem can be efficiently solved using a combination of sampling and LMI optimization tools. These results are illustrated with two examples and benchmarked against existing methods.",

author = "Wenjing Ma and Mario Sznaier and Constantino Lagoa",

note = "Funding Information: This paper was not presented at any IFAC meeting. This paper was recommended for publication in revised form by the Associate Editor Mich{\`e}le Basseville under the direction of Editor T. S{\"o}derstr{\"o}m and this work was supported by NSF Grants ECS-0115946, ECS-0221562, and ECS-050166, and AFOSR Grant FA9550-05-1-0437. ",

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AU - Sznaier, Mario

AU - Lagoa, Constantino

N1 - Funding Information: This paper was not presented at any IFAC meeting. This paper was recommended for publication in revised form by the Associate Editor Michèle Basseville under the direction of Editor T. Söderström and this work was supported by NSF Grants ECS-0115946, ECS-0221562, and ECS-050166, and AFOSR Grant FA9550-05-1-0437.

PY - 2007/3

Y1 - 2007/3

N2 - This paper addresses the problem of detecting and isolating faults in noisy MIMO uncertain-systems, subject to structured dynamic uncertainty. Its main result shows that this problem can be efficiently solved using a combination of sampling and LMI optimization tools. These results are illustrated with two examples and benchmarked against existing methods.

AB - This paper addresses the problem of detecting and isolating faults in noisy MIMO uncertain-systems, subject to structured dynamic uncertainty. Its main result shows that this problem can be efficiently solved using a combination of sampling and LMI optimization tools. These results are illustrated with two examples and benchmarked against existing methods.

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DO - 10.1016/j.automatica.2006.09.012

M3 - Article

AN - SCOPUS:33846839007

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SP - 499

EP - 504

JO - Automatica

JF - Automatica

IS - 3

ER -

A risk adjusted approach to robust simultaneous fault detection and isolation

Abstract

All Science Journal Classification (ASJC) codes

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