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Record W2107604695 · doi:10.1109/robot.1994.351197

Vibration suppression of a single flexible link using a linear modal coupling paradigm

2002· article· en· W2107604695 on OpenAlexafffund
K.L. Tuer, D. Wang, M. F. Golnaraghi

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicDynamics and Control of Mechanical Systems
Canadian institutionsUniversity of Waterloo
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsControl theory (sociology)VibrationModalNonlinear systemCoupling (piping)Trigonometric functionsLink (geometry)Vibration controlComputer scienceAction (physics)Linear systemSeries (stratigraphy)Modal analysisTopology (electrical circuits)Degrees of freedom (physics and chemistry)Function (biology)State (computer science)Control engineeringEngineeringMathematicsControl (management)PhysicsAlgorithmArtificial intelligenceAcousticsMathematical analysis

Abstract

fetched live from OpenAlex

Unique phenomena that can arise in linear and nonlinear systems that are dynamically and/or statically coupled have been utilised for vibration suppression. In the linear case, static coupling is established between the oscillatory modes of a plant with a single input and a series of second order controllers. The controlled system is characterised by a plant response that approaches the desired state at the rate of a cosine function. In this investigation the single-degree-of freedom coupling control theory is extended to suppress disturbance induced oscillations of a single flexible link. The suppression action is achieved using the hybrid control method which was developed to supply the suppression action, especially for the multidegree-of freedom case. The resulting control algorithm is implemented experimentally.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">&gt;</ETX>

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)0.000
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 score0.721
Threshold uncertainty score0.334

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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 head0.026
GPT teacher head0.219
Teacher spread0.193 · 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.

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

Citations1
Published2002
Admission routes2
Has abstractyes

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