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Record W2063554272 · doi:10.1109/tac.2014.2308609

A Class of Position Controllers for Underactuated VTOL Vehicles

2014· article· en· W2063554272 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

VenueIEEE Transactions on Automatic Control · 2014
Typearticle
Languageen
FieldEngineering
TopicAdaptive Control of Nonlinear Systems
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsControl theory (sociology)UnderactuationStabilizer (aeronautics)Controller (irrigation)Position (finance)CascadeAttitude controlControl engineeringProcess (computing)Class (philosophy)Inner loopBounded functionStability (learning theory)Computer scienceEngineeringControl (management)MathematicsAerospace engineeringArtificial intelligence

Abstract

fetched live from OpenAlex

This technical note proposes a unified framework for stabilizing a hover equilibrium for a class of vertical take-off and landing (VTOL) aircraft using a cascade control architecture which yields almost global stability in the absence of wind gusts. The control design process is partitioned into two decoupled parts: the design of a bounded position controller for a fully actuated point-mass particle, and the design of an attitude stabilizer. The position feedback is then used in an outer loop to provide reference signals for the inner loop attitude stabilizer. A number of sample feedbacks in the proposed controller class are presented, some of which include integral action to compensate for an unknown mass.

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)0.000
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 score0.962
Threshold uncertainty score0.936

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 head0.011
GPT teacher head0.225
Teacher spread0.214 · 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