HAL will be down for maintenance from Friday, June 10 at 4pm through Monday, June 13 at 9am. More information
Skip to Main content Skip to Navigation
Reports

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.
Document type :
Reports
Complete list of metadata

https://hal.inria.fr/inria-00074759
Contributor : Rapport de Recherche Inria Connect in order to contact the contributor
Submitted on : Wednesday, May 24, 2006 - 4:14:55 PM
Last modification on : Friday, February 4, 2022 - 3:14:04 AM
Long-term archiving on: : Tuesday, April 12, 2011 - 7:05:42 PM

Identifiers

  • HAL Id : inria-00074759, version 1

Collections

Citation

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

Share

Metrics

Record views

57

Files downloads

73