2009
DOI: 10.3182/20090630-4-es-2003.00198
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Set-observer design for consistency checks of nonlinear systems

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“…Consistency-based approaches for fault diagnosis are available for linear parameter varying systems Blesa et al [2007], for uncertain linear systems Combastel and Raka [2009], Tornil et al [2003], and for nonlinear systems subject to biased uncertain measurements Planchon [2007]. Other approaches are based on residuals generated by means of observers or Kalman filters and compared to a threshold Theilliol et al [2008], Videau et al [2009], Zhang et al [2008]. Further fault diagnosis methods for nonlinear systems are available in Aßfalg and Allgöwer [2006], Selmic et al [2009], Zhang et al [2002].…”
Section: Introductionmentioning
confidence: 99%
“…Consistency-based approaches for fault diagnosis are available for linear parameter varying systems Blesa et al [2007], for uncertain linear systems Combastel and Raka [2009], Tornil et al [2003], and for nonlinear systems subject to biased uncertain measurements Planchon [2007]. Other approaches are based on residuals generated by means of observers or Kalman filters and compared to a threshold Theilliol et al [2008], Videau et al [2009], Zhang et al [2008]. Further fault diagnosis methods for nonlinear systems are available in Aßfalg and Allgöwer [2006], Selmic et al [2009], Zhang et al [2002].…”
Section: Introductionmentioning
confidence: 99%