MétaCan
Menu
Back to cohort
Record W2331412517 · doi:10.1061/41096(366)164

Autopilot Design for a Side-Jet Missile Based on MRVSS Technique and GA Optimization

2010· article· en· W2331412517 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 institutionsUniversity of Toronto
Fundersnot available
KeywordsMissileAutopilotControl theory (sociology)ActuatorController (irrigation)FinReachabilityControl systemFlight control surfacesControllabilityAerodynamicsEngineeringMissile guidanceOptimal controlProcess (computing)Control engineeringComputer scienceControl (management)Aerospace engineeringMathematics

Abstract

fetched live from OpenAlex

The autopilot design issue of a side-jet and aero-fin blending control air-to-air missile is discussed in this paper and a MRVSS (short for "Model Reference Variable Sliding Structure") control method is presented. The MRVSS controller generates control commands to aero-fin actuators and side-jet actuators to make the missile system to reach the desired normal load command. The control law is in the form of full-state feedback and the sliding-surface reachability condition is satisfied. GA (short for "Generic Algorithm") optimization is applied to search the optimal values of control parameters. Simulation results prove that the MRVSS controller has a good performance in tracking the desired command and it ensure the missile control system's fast time response and smooth dynamical process. Moreover, the MRVSS controller is robust to external disturbance and internal uncertainty which is meaningful in the actual industrial applications.

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: Methods · Consensus signal: none
Teacher disagreement score0.886
Threshold uncertainty score0.302

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 head0.012
GPT teacher head0.209
Teacher spread0.197 · 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

Citations2
Published2010
Admission routes1
Has abstractyes

Explore more

Same topicGuidance and Control SystemsFrench-language works237,207