MétaCan
Menu
Back to cohort
Record W2153442514 · doi:10.1109/cca.2007.4389254

A Generalized Prandtl-Ishlinskii Model for Characterizing Rate Dependent Hysteresis

2007· article· en· W2153442514 on OpenAlexaff
Mohammad Al Janaideh, Subhash Rakheja, Chun Yi Su

Bibliographic record

Venue˜The œproceedings of the IEEE Conference on Control Applications/˜The œproceedings of the ... IEEE Conference on Control Applications · 2007
Typearticle
Languageen
FieldEngineering
TopicPiezoelectric Actuators and Control
Canadian institutionsConcordia University
Fundersnot available
KeywordsHysteresisPrandtl numberRange (aeronautics)Function (biology)Operator (biology)Control theory (sociology)ActuatorStatistical physicsComputer scienceBiological systemPhysicsMaterials scienceMechanicsCondensed matter physicsChemistryArtificial intelligenceConvectionControl (management)

Abstract

fetched live from OpenAlex

A generalized Prandtl-Ishlinskii model is proposed for characterizing the rate dependent hysteresis. A rate dependent play and stop operators are formulated and integrated to the Prandtl-Ishlinskii model together with a rate dependent density function to predict hysteresis properties as a function of rate of change of the input. The fundamental properties of the proposed rate dependent play and stop operators are evaluated and discussed. Experimental data obtained for a piezoceramic actuator under excitations in a wide frequency range (1-500 Hz) are analyzed to demonstrate rate dependence of the hysteretic responses. The validity of the proposed model is illustrated by comparing simulation results with the measured data over a wide frequency range. The comparisons suggest that the proposed rate dependent operator and density functions allow for accurate prediction of the rate dependent hysteresis under dynamically varying inputs.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.003
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0010.002
Open science0.0030.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.001

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 head0.019
GPT teacher head0.234
Teacher spread0.215 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations10
Published2007
Admission routes1
Has abstractyes

Explore more

Same venue˜The œproceedings of the IEEE Conference on Control Applications/˜The œproceedings of the ... IEEE Conference on Control ApplicationsSame topicPiezoelectric Actuators and ControlFrench-language works237,207