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dc.date.accessioned 2025-09-29T14:54:29Z
dc.date.available 2025-09-29T14:54:29Z
dc.date.issued 2003
dc.identifier.uri http://sedici.unlp.edu.ar/handle/10915/185210
dc.description.abstract This paper presents a comparison of three nonlinear models used for residual generation. The residual generation is part of a simple fault detection and diagnostics scheme applied to the Pendubot dynamic system operating in closed loop. The compared models are: Hammerstein, neural NARMAX, and Takagi-Sugeno Fuzzy models. en
dc.language en es
dc.subject Residual Generation es
dc.subject Fault Detection es
dc.subject Nonlinear Models es
dc.title Nonlinear models for residual generation in fault detection and diagnosis systems applied to the pendubot dynamic system en
dc.type Objeto de conferencia es
sedici.identifier.issn 1666-1079 es
sedici.creator.person Levrini, Aldo es
sedici.creator.person Cipriano, Aldo es
sedici.subject.materias Ciencias Informáticas es
sedici.description.fulltext true es
mods.originInfo.place Sociedad Argentina de Informática e Investigación Operativa es
sedici.subtype Objeto de conferencia es
sedici.rights.license Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
sedici.rights.uri http://creativecommons.org/licenses/by-nc-sa/4.0/
sedici.date.exposure 2003-09
sedici.relation.event Simposio Argentino de Inteligencia Artificial (ASAI 2003)- JAIIO 32 (CABA, 1 al 5 de septiembre de 2003) es
sedici.description.peerReview peer-review es


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Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) Except where otherwise noted, this item's license is described as Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)