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Record W1601441868 · doi:10.23919/ecc.2009.7074617

Robust power control of optical links with time-delay

2009· article· en· W1601441868 on OpenAlexaff
Nem Stefanovic, Lacra Pavel

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicOptical Network Technologies
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsControl theory (sociology)Robust controlComputer scienceBounded functionDecoupling (probability)Upper and lower boundsMathematicsMathematical optimizationControl systemControl (management)

Abstract

fetched live from OpenAlex

We derive robust stability conditions for game-theoretic based power control in optical links with time-delay. We consider a perturbed optical signal to noise ratio (OSNR) model in the presence of time-delays. Primal-dual control algorithms adjust the signal powers at the channel sources and receiver to optimize the OSNR values. The link utilization price is regularly updated and fed back to the source algorithms. We apply norm-bounded uncertainty techniques to derive algebraic stability criteria. The main theorem exploits time-decoupling in the primal-dual algorithms by utilizing singular perturbation theory modified to handle Lyapunov-Krasovskii time-delay techniques. We produce a new robust time-delay bound which generalizes the previous nominal time-delay result.

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 score0.683
Threshold uncertainty score0.299

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 head0.005
GPT teacher head0.177
Teacher spread0.171 · 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

Citations4
Published2009
Admission routes1
Has abstractyes

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