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Record W2092353321 · doi:10.1299/jamdsm.5.329

Web Tension and Velocity Control of Two-Span Roll-to-Roll System for Printed Electronics

2011· article· en· W2092353321 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJournal of Advanced Mechanical Design Systems and Manufacturing · 2011
Typearticle
Languageen
FieldEngineering
TopicVibration and Dynamic Analysis
Canadian institutionsUniversity of Waterloo
FundersMinistry of Knowledge Economy
KeywordsBacksteppingController (irrigation)MATLABElectronicsControl theory (sociology)Nonlinear systemControl engineeringEngineeringReliability (semiconductor)Genetic algorithmControl systemComputer scienceControl (management)Adaptive controlArtificial intelligenceElectrical engineering

Abstract

fetched live from OpenAlex

Due to the increasing demand of high accuracy in printed electronics industry at a micrometer-level, it is necessary to have a precise control scheme for web velocity and tension in the presence of disturbances. In this paper, a generalized mathematical model of non-linear control system is proposed and a systematic procedure is presented to design a backstepping controller taking the modified backstepping approach. With application of the proposed theory, a precise control algorithm is developed for a nonlinear two-span roll-to-roll web control system based on the backstepping method. The design parameters are chosen optimally by using the modified genetic algorithm. The reliability of the proposed algorithm is validated through simulations in Matlab/Simulink and real experiments

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.

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)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.903
Threshold uncertainty score0.529

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.014
GPT teacher head0.216
Teacher spread0.202 · 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