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Record W2090205673 · doi:10.5539/mas.v5n1p101

Design of the Robust Controller of the APT Fine Tracking System Based on the Structured Singular Value Theory

2011· article· en· W2090205673 on OpenAlexvenueno aff
Mingqiu Li, Hong-zuo Li

Bibliographic record

VenueModern Applied Science · 2011
Typearticle
Languageen
FieldEngineering
TopicOptical Systems and Laser Technology
Canadian institutionsnot available
Fundersnot available
KeywordsTracingComputer scienceRobustness (evolution)Singular valueControl theory (sociology)Control (management)Artificial intelligencePhysics

Abstract

fetched live from OpenAlex

APT (Acquisition, Pointing, Tracing) system is the important component of the space laser communication system, and its tracing accuracy is mainly determined by the fine tracing subsystem. To enhance the tracing accuracy and robustness of the APT system, the robust control technology based on the structured singular value theory ( integration) is adopted in the design of the controller of the APT fine tracing subsystem, and the mathematical model of the augmented object of the fine tracing subsystem based on integration is established, and the robust controller is designed by the D-K iterative method in this article, and the bandwidth of the fine tracing subsystem could achieve 318 Hz, which could satisfy the requirements of the APT system to the bandwidth of the fine tracing subsystem. The equivalent sine simulation of the system indicates that the system tracing accuracy is better than 0.6 µrad.

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.003
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.001

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 head0.021
GPT teacher head0.172
Teacher spread0.151 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSimulation or modeling
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2011
Admission routes1
Has abstractyes

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