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Record W2092846535 · doi:10.2514/2.4488

Mode Localization in Flexible Spacecraft: A Control Challenge

2000· article· en· W2092846535 on OpenAlexafffund
Robert Zee, P. C. Hughes

Bibliographic record

VenueJournal of Guidance Control and Dynamics · 2000
Typearticle
Languageen
FieldEngineering
TopicVibration Control and Rheological Fluids
Canadian institutionsUniversity of Toronto
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsSpacecraftMode (computer interface)Control theory (sociology)Aerospace engineeringComputer scienceControl (management)Control engineeringEngineeringArtificial intelligenceHuman–computer interaction

Abstract

fetched live from OpenAlex

Mode localization is often an unexpected phenomenon in e exible space structures because it arises from very small manufacturing errors. It will occur, however, in structures comprising lightly damped, weakly coupled repeating members that have tightly clustered modes of vibration. If not properly taken into account, mode localization can potentially pose problems for high-performance e exible spacecraft controllers relying on the assumption of perfect symmetry. In cases where actuation and sensing are limited, local decentralized control design for each structural member relies on the propagation of energy from one member to the next through channels of weak coupling. Mode localization can severely inhibit this propagation leading to control performance degradation. A solution to this problem is to design controllers based on models consisting of multiple members of the structure or to centralize control design. Because mode shape errors can be large when modes localize, however, any uncertainty model that attempts to capture this information will lead to reduced control authority, overconservatism, and performance losses. It is shown that eigenvalue perturbation models are an effective means by which to design controllers fore exible space structures subject to mode localization. The successful control of a structurewith modelocalization isdemonstrated through experimentsconducted ona e exiblespacecraftemulator that exhibits the phenomenon.

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 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: Empirical · Consensus signal: none
Teacher disagreement score0.929
Threshold uncertainty score0.463

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 head0.004
GPT teacher head0.206
Teacher spread0.202 · 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 teacher head, 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

Citations9
Published2000
Admission routes2
Has abstractyes

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