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Record W2059327823 · doi:10.1109/iecon.2012.6388953

Optimal flight control on the hawker 800 XP business aircraft

2012· article· en· W2059327823 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

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicGuidance and Control Systems
Canadian institutionsÉcole de Technologie Supérieure
Fundersnot available
KeywordsTrimRobustness (evolution)AerospaceLinear-quadratic regulatorOptimal controlEngineeringComputer scienceNonlinear systemControl systemControl theory (sociology)AeronauticsControl (management)Automotive engineeringControl engineeringAerospace engineeringMathematical optimization

Abstract

fetched live from OpenAlex

Even with the advancement of technology in the aerospace industry, we increasingly need to study the flight control system problems in real time to ensure greater efficiency, and in the presence of uncertainties. In this research we will conduct a study of modeling and control system design for a business aircraft. A nonlinear model of the Hawker 800 XP aircraft was designed, and then linearized by small disturbance method. A Linear Quadratic Regulator (LQR) technology was used to achieve desirable dynamic characteristics; a robustness analysis of the optimal gain was performed to choose a robust gain which can resist to uncertainties and trim the aircraft while maintaining its stability and its acceptable performance.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.464
Threshold uncertainty score0.999

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)0.0000.001

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 head0.007
GPT teacher head0.179
Teacher spread0.172 · 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

Quick stats

Citations7
Published2012
Admission routes1
Has abstractyes

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