Non-linear estimation is easy

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dc.creatorFliess, Michel
dc.creatorJoin, Cédric
dc.creatorSira-Ramirez, Hebertt
dc.date2007-10-24
dc.date.accessioned2026-07-07T10:15:31Z
dc.date.available2026-07-07T10:15:31Z
dc.descriptionNon-linear state estimation and some related topics, like parametric estimation, fault diagnosis, and perturbation attenuation, are tackled here via a new methodology in numerical differentiation. The corresponding basic system theoretic definitions and properties are presented within the framework of differential algebra, which permits to handle system variables and their derivatives of any order. Several academic examples and their computer simulations, with on-line estimations, are illustrating our viewpoint.
dc.identifierhttps://arxiv.org/abs/0710.4486
dc.identifierhttp://arxiv.org/abs/0710.4486
dc.identifierInt. J. Modelling Identification and Control 4, 1 (2008) 12-27
dc.identifierdoi:10.1504/IJMIC.2008.020996
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/173200
dc.subjectComputational Engineering, Finance, and Science
dc.subjectNumerical Analysis
dc.subjectPerformance
dc.subjectCommutative Algebra
dc.subjectOptimization and Control
dc.titleNon-linear estimation is easy
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