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Reports (Research Report) Year : 1993

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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Other [cs.OH]
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Dates and versions

inria-00074759 , version 1 (24-05-2006)

Identifiers

  • HAL Id : inria-00074759 , version 1

Cite

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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