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Record W2044786826 · doi:10.1177/1077546306064826

QFT Based Robust Control of a Single-Link Flexible Manipulator

2007· article· en· W2044786826 on OpenAlex
Murray Kerr, Suhada Jayasuriya, Samuel F. Asokanthan

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 Vibration and Control · 2007
Typearticle
Languageen
FieldEngineering
TopicDynamics and Control of Mechanical Systems
Canadian institutionsWestern University
Fundersnot available
KeywordsTestbedControl theory (sociology)MIMOParametric statisticsQuantitative feedback theoryControl engineeringRobust controlComputer scienceMobile manipulatorEngineeringControl systemControl (management)RobotMathematicsElectronic engineering

Abstract

fetched live from OpenAlex

This article presents the application of multi-input multi-output (MIMO) quantitative feedback theory (QFT) to the control of a single-link flexible manipulator. The manipulator employs an actuation scheme comprised of a DC motor that provides spatially discrete actuation and a surface bonded piezoelectric ceramic that provides spatially distributed actuation. The efficacy of the sequential MIMO QFT methodology for articulating flexible structure control is investigated using the flexible manipulator testbed, with the control system designed to achieve rapid, rest-to-rest positioning of the manipulator tip in the presence of significant parametric and non-parametric structured uncertainty. Numerical simulations and experiments are employed to validate the synthesised control system and the combined discrete-distributed actuation scheme. Conservatisms in the MIMO QFT methodology are identified and partly alleviated using recent theoretical and design improvements.

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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.969
Threshold uncertainty score0.399

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.011
GPT teacher head0.199
Teacher spread0.187 · 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