@prefix dcat: <http://www.w3.org/ns/dcat#> .
@prefix dct: <http://purl.org/dc/terms/> .
@prefix foaf: <http://xmlns.com/foaf/0.1/> .
@prefix vcard: <http://www.w3.org/2006/vcard/ns#> .
@prefix xsd: <http://www.w3.org/2001/XMLSchema#> .

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    dct:description """
              This thesis mainly concerns the resolution of dynamic inverse problems involvingnonlinear dynamical systems. A set of techniques based on the use of trains of pastmeasurements saved on a sliding window was developed. First, the measurements areused to generate a family of graphical signatures, which is a classification tool, in orderto discriminate between different values of variables to be estimated for a given nonlinearsystem. This technique was applied to solve two problems : the electrolocationproblem of a robot with electrical sense and the problem of state estimation in nonlineardynamical systems. Besides these two applications, receding horizon inversion techniquesdedicated to the fault diagnosis problem of a wind turbine proposed as an internationalbenchmark were developed. These techniques are based on the minimization of quadraticcriteria based on knowledge-based models.
            """ ;
    dct:identifier "NNT: 2012GRENT083" ;
    dct:issued "2026-05-09T09:20:00.019584"^^xsd:dateTime ;
    dct:language "fr" ;
    dct:modified "2026-05-09T09:20:00.019590"^^xsd:dateTime ;
    dct:publisher <https://rec.harvest-normandie.data4citizen.com/organization/cce9db95-46d9-4dc2-84b6-764215d0a002> ;
    dct:title "On the use of graphical signature as a non parametric identification tool. Application to the Diesel Engine emission modeling." ;
    dcat:contactPoint [ a vcard:Organization ;
            vcard:fn "CCSD" ] ;
    dcat:distribution <https://rec.harvest-normandie.data4citizen.com/dataset/oai-hal-tel-00872892v1/resource/85f52149-2a1b-401e-a857-b8f70270ea98> ;
    dcat:keyword "diagnostic-des-defauts",
        "electric-fish",
        "electrolocation",
        "eletrolocation",
        "eoliennes",
        "estimation-detat",
        "fault-diagnosis",
        "horizon-glissant",
        "infoeu-reposemanticsdoctoralthesis",
        "inverse-problems",
        "moving-horizon",
        "non-linear-observers",
        "observateurs-non-lineaires",
        "poissons-electriques",
        "problemes-inverses",
        "spiotherengineering-sciences-physicsother",
        "state-estimation",
        "theses",
        "wind-turbines" ;
    dcat:landingPage <https://theses.hal.science/tel-00872892> .

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    dct:format "HTML" ;
    dct:issued "2026-05-09T09:20:00.022182"^^xsd:dateTime ;
    dct:modified "2026-05-09T09:19:59.985700"^^xsd:dateTime ;
    dct:title "On the use of graphical signature as a non parametric identification tool. Application to the Diesel Engine emission modeling." ;
    dcat:accessURL <https://theses.hal.science/tel-00872892> .

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