New approach to model validation and fault diagnosis

A. V. Savkin; I. R. Petersen

doi:10.1023/A:1022676106903

New approach to model validation and fault diagnosis

A. V. Savkin^*
, I. R. Petersen

^*Corresponding author for this work

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

7 Citations (Scopus)

Abstract

The paper presents a new approach to model validation and fault diagnosis problems for a class of uncertain systems in which the uncertainty is described by an integral quadratic constraint. The new approach is developed by applying methods from linear quadratic optimal control theory. This leads to a method for model validation and fault diagnosis which is based around a robust Kalman filter type structure.

Original language	English
Pages (from-to)	241-250
Number of pages	10
Journal	Journal of Optimization Theory and Applications
Volume	94
Issue number	1
DOIs	https://doi.org/10.1023/A:1022676106903
Publication status	Published - Jul 1997
Externally published	Yes

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title = "New approach to model validation and fault diagnosis",

abstract = "The paper presents a new approach to model validation and fault diagnosis problems for a class of uncertain systems in which the uncertainty is described by an integral quadratic constraint. The new approach is developed by applying methods from linear quadratic optimal control theory. This leads to a method for model validation and fault diagnosis which is based around a robust Kalman filter type structure.",

keywords = "Fault diagnosis, Model validation, State estimation, Uncertain systems",

author = "Savkin, \{A. V.\} and Petersen, \{I. R.\}",

year = "1997",

month = jul,

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volume = "94",

pages = "241--250",

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T1 - New approach to model validation and fault diagnosis

AU - Savkin, A. V.

AU - Petersen, I. R.

PY - 1997/7

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N2 - The paper presents a new approach to model validation and fault diagnosis problems for a class of uncertain systems in which the uncertainty is described by an integral quadratic constraint. The new approach is developed by applying methods from linear quadratic optimal control theory. This leads to a method for model validation and fault diagnosis which is based around a robust Kalman filter type structure.

AB - The paper presents a new approach to model validation and fault diagnosis problems for a class of uncertain systems in which the uncertainty is described by an integral quadratic constraint. The new approach is developed by applying methods from linear quadratic optimal control theory. This leads to a method for model validation and fault diagnosis which is based around a robust Kalman filter type structure.

KW - Fault diagnosis

KW - Model validation

KW - State estimation

KW - Uncertain systems

UR - https://www.scopus.com/pages/publications/0031491397

U2 - 10.1023/A:1022676106903

DO - 10.1023/A:1022676106903

M3 - Article

AN - SCOPUS:0031491397

SN - 0022-3239

VL - 94

SP - 241

EP - 250

JO - Journal of Optimization Theory and Applications

JF - Journal of Optimization Theory and Applications

IS - 1

ER -

New approach to model validation and fault diagnosis

Abstract

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