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Record W1512563974 · doi:10.23919/ecc.2007.7068656

Cross-directional loop-shaping using spatial pole placement

2007· article· en· W1512563974 on OpenAlexaff
Mohammed E. Ammar, Guy A. Dumont

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldMathematics
TopicNumerical methods for differential equations
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsRobustness (evolution)Control theory (sociology)Transfer functionMIMOComputer sciencePole–zero plotClosed loopFull state feedbackRobust controlControl engineeringControl systemEngineeringArtificial intelligenceControl (management)Telecommunications

Abstract

fetched live from OpenAlex

This paper presents a method to design cross-directional (CD) controllers using spatial loop-shaping. The controller is designed to satisfy the performance and robustness conditions at temporal steady state, afterwards the performance and robustness on a grid of temporal and spatial frequencies are investigated. As the CD process is a regulation problem attenuating the spatial disturbances, mainly at low dynamical frequencies, performing control design at steady state is sufficient. This approach simplifies the complicated design problem without any drawbacks. The CD process is modeled by a spatial non-causal transfer function and the closed loop spatial frequency response is shaped using pole placement. In other words, this is shaping the singular values of the MIMO system at steady state and consequently the H <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">∞</sub> norm. The performance and robustness of the designed controller is compared to the controller obtained by two dimensional loop-shaping.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: Methods
Teacher disagreement score0.471
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
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)0.0030.000

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 head0.196
GPT teacher head0.453
Teacher spread0.257 · 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.

Study designTheoretical or conceptual
Domainnot available
GenreMethods

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
Published2007
Admission routes1
Has abstractyes

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