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Record W2333679980 · doi:10.3166/jesa.39.1025-1050

Stabilisation d'un actionneur électrohydraulique en considérant les dynamiques des distributeurs

2005· article· fr· W2333679980 on OpenAlexvenueno aff
Rachid Outbib, Hugues Rafaralahy, Mohamed Tafraouti

Bibliographic record

VenueJournal Européen des Systèmes Automatisés · 2005
Typearticle
Languagefr
FieldEngineering
TopicVibration and Dynamic Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesPhilosophyPhysics

Abstract

fetched live from OpenAlex

RESUME -Cet article est dédié à la stabilisation d'un actionneur électrohydraulique en tenant compte, dans la synthèse de la loi de commande, de la dynamique des distributeurs. Le comportement des actionneurs à fluide sous pression peuvent êtres décrits par des équations différentielles non linéaires qui sont seulement continues (c'est-à-dire non dérivables). Nous proposons dans cet article une extension de certains résultats de la littérature sur la stabilisation d'une classe de systèmes non linéaires lorsque le champ de vecteurs définissant le système est seulement continu. Il est à noter que la loi de commande proposée est donnée explicitement et elle est appliquée à la stabilisation d'un vérin hydraulique en tenant compte de la dynamique des distributeurs et ceci sans effectuer aucune linéarisation du modèle.ABSTRACT -This paper is devoted to the stabilization of an electrohydraulic actuator taking into account the dynamics of the valves.The behaviour of actuators in fluid power systems can be described by non linear differential equations which are only continuous (i.e.not of class C 1 ).We propose in this paper an extension of some results on the stabilization of a class of non linear systems when the vector fields are only continuous.Notice that the obtained control law is given explicitely and is applied to the stabilization of an hydraulic cylinder taking into account the dynamics of the valves and without any kind of linearization.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.727
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0010.002
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.012
GPT teacher head0.235
Teacher spread0.223 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designSimulation or modeling
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations1
Published2005
Admission routes1
Has abstractyes

Explore more

Same venueJournal Européen des Systèmes AutomatisésSame topicVibration and Dynamic AnalysisFrench-language works237,207