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Record W2149503933 · doi:10.1109/iecon.2001.975607

Integration of a fuzzy guidance-control system for a command interceptor against hypersonic target

2002· article· en· W2149503933 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 institutionsRoyal Military College of Canada
Fundersnot available
KeywordsMissile guidanceMissileFuzzy logicGuidance systemBallistic missileControl engineeringEngineeringFuzzy control systemScheme (mathematics)Process (computing)Computer scienceControl systemProportional navigationControl theory (sociology)Aerospace engineeringControl (management)Artificial intelligence

Abstract

fetched live from OpenAlex

Extensive research efforts have been made to design or improve flight guidance and control systems. With the phenomenal growth in soft computing techniques, there is a growing interest to apply these techniques to missile flight guidance and control systems. This paper investigates the application of fuzzy logic for the development of fuzzy guidance laws for command-to-line-of-sight skid-to-turn (CLOS-STT) missile. The fuzzy logic guidance scheme based on the well known three-point guidance law is discussed. Preliminary studies have shown the advantages of using anti-air tactical missiles against hypersonic ballistic targets. A complete six-degrees-of-freedom (6-DOF)-flight model for an anti-air command guidance system is developed. Simulation results for this three-dimensional missile-target interception process are given to show the effectiveness of the proposed fuzzy guidance scheme.

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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.958
Threshold uncertainty score0.535

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 head0.013
GPT teacher head0.193
Teacher spread0.180 · 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
Published2002
Admission routes1
Has abstractyes

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