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Record W1527514079

Autopilot design for a side-jet missile based on MRVSS with an adaptive approach law

2010· article· en· W1527514079 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

VenueChinese Control Conference · 2010
Typearticle
Languageen
FieldEngineering
TopicGuidance and Control Systems
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsAutopilotMissileControl theory (sociology)ActuatorAerodynamicsJet (fluid)Missile guidanceVariable (mathematics)Exponential functionEngineeringComputer scienceAerospace engineeringControl (management)MathematicsArtificial intelligence
DOInot available

Abstract

fetched live from OpenAlex

The autopilot design of a side jet and aero-fin blending control air-to-air missile is discussed in this paper and a Model Reference Variable Sliding Structure (MRVSS) method is presented. The side jets are in the discontinuous on-off pulse forms which are different from the conventional continuous side jets. The control parameters are sought though Genetic Algorithm (GA). Further, a novel adaptive variable-rate exponential approach law is introduced to approach the sliding surface quickly. The proposed method is verified by simulations on a research side-jet missile model and it's convenient to be carried out on other multi-actuator applications which is meaningful in actual engineering.

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 categoriesMeta-epidemiology (narrow)
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 score0.938
Threshold uncertainty score1.000

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 head0.023
GPT teacher head0.224
Teacher spread0.201 · 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