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Record W1482432650 · doi:10.1109/cdc.1994.410895

L/sub 2/-stability of a shape memory alloy position control system

2002· article· en· W1482432650 on OpenAlexaff
D.R. Madill, D. Wang

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldMaterials Science
TopicShape Memory Alloy Transformations
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsSMA*ActuatorControl theory (sociology)Shape-memory alloyNonlinear systemPID controllerPassivityPosition (finance)HysteresisStability (learning theory)Computer scienceController (irrigation)Control systemControl engineeringControl (management)PhysicsEngineeringArtificial intelligenceAlgorithmTemperature control

Abstract

fetched live from OpenAlex

In most shape memory alloy (SMA) actuator systems presented in the literature, some form of PID or pulse-width modulating controller is typically used. Unfortunately, due to the hysteresis inherent in any SMA actuator system, the theoretical stability of these systems has been largely ignored. This paper employs a model developed by the author and a general form of the passivity theorem of Vidyasagar (1993) to prove the L/sub 2/-stability of an SMA actuator system employing a form of proportional control. The complex nonlinear behaviour of the SMA actuator is taken into account, along with nonlinear effects such as saturation. Due to the flexibility of the model in specifying the shape and position of the hysteresis, the stability result may be applicable to other hysteretic systems.>

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)0.000
metaresearch head score (Gemma)0.001
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 score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0030.001

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 head0.020
GPT teacher head0.216
Teacher spread0.197 · 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

Citations2
Published2002
Admission routes1
Has abstractyes

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