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New approach to model validation and fault diagnosis

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Date

1997

Authors

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

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Research Projects

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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.

Description

Keywords

Fault diagnosis, Model validation, State estimation, Uncertain systems

Citation

URI

https://hdl.handle.net/1885/733812268

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ANU Research Publications

Source

Journal of Optimization Theory and Applications

Type

Journal article

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Publication

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DOI

10.1023/A:1022676106903

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