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Record W1877351422 · doi:10.1109/cdc.1989.70231

Towards modeling and control of large space stations

2003· article· en· W1877351422 on OpenAlexaff
N. U. Ahmed, Sang Seok Lim

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicStability and Controllability of Differential Equations
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsOrdinary differential equationSpace (punctuation)Rigid bodyControl theory (sociology)Motion (physics)Boundary (topology)Partial differential equationDifferential equationLyapunov functionComputer scienceCoupling (piping)Equations of motionStability (learning theory)Exponential stabilityMathematicsApplied mathematicsMathematical analysisControl (management)PhysicsClassical mechanicsEngineeringArtificial intelligenceNonlinear system

Abstract

fetched live from OpenAlex

A preliminary formulation is presented for a large space structure. The system consists of a (rigid) massive body, which can play the role of experimental modules located at the center of the space station, and flexible configurations, consisting of several beams, that form the space structure. A complete dynamics of the system has been developed using Hamilton's principle. The equations that govern the motion of the complete system consist of several partial differential equations with boundary conditions describing the vibration of flexible components coupled with six ordinary differential equations that describe the rotational and translational motion of the central body. Consideration is given to the problem of feedback stabilization of the system. Asymptotic stability is proved using Lyapunov's method. This study is expected to provide some insight into the complexity of modeling, analysis, and stabilization of actual space stations. Some numerical results are presented to illustrate the coupling effects and the effectiveness of the suggested feedback controls for stabilization.>

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)0.000
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 score0.007
Threshold uncertainty score0.014

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.001

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 head0.011
GPT teacher head0.227
Teacher spread0.215 · 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

Citations1
Published2003
Admission routes1
Has abstractyes

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