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Innovation generation in the presence of unknown inputs : application to robust failure detection

Abstract : The first step in innovations-based failure detection is the construction of an innovations generator, i.e., a filter which, in the absence of failures, from the inputs and the outputs of the system, generates a zero-mean white process with known covariance called innovations. Decision on whether a failure has occurred is then made by monitoring and applying statistical tests to this innovations process. In this paper, we present a method for constructing innovations in the case where the model contains unknown inputs and disturbances. Our solution is complete in the sense that it covers all "singular" cases.
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https://hal.inria.fr/inria-00074759
Contributor : Rapport de Recherche Inria <>
Submitted on : Wednesday, May 24, 2006 - 4:14:55 PM
Last modification on : Friday, May 25, 2018 - 12:02:05 PM
Long-term archiving on: : Tuesday, April 12, 2011 - 7:05:42 PM

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  • HAL Id : inria-00074759, version 1

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Ramine Nikoukhah. Innovation generation in the presence of unknown inputs : application to robust failure detection. [Research Report] RR-1914, INRIA. 1993. ⟨inria-00074759⟩

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