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Record W2642608081 · doi:10.11499/sicep.2004.0.38.1

The invariant discrete-time model of a continuous-time logistic system

2004· article· en· W2642608081 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueSociety of Instrument and Control Engineers of Japan · 2004
Typearticle
Languageen
FieldEngineering
TopicAdvanced Control Systems Design
Canadian institutionsDefence Research and Development Canada
Fundersnot available
KeywordsDiscrete time and continuous timeInvariant (physics)LTI system theoryMathematicsDifferential equationApplied mathematicsLogistic functionControl theory (sociology)Computer scienceLinear systemMathematical analysisStatisticsArtificial intelligence

Abstract

fetched live from OpenAlex

This paper presents the invariant discrete-time model for a continuous-time system governed by the logistic differential equation. The state of this model matches that of the continuous-time original at the discrete-time instants for any sampling interval T. The model is obtained by converting the logistic equation into a linear one using state transformation and by applying to it the linear invariant model scheme. Simulations are carried out for the open-loop and closed-loop applications, where the proposed model is compared with other models, viz. the forward difference, Morishita, and Hirota Models, to show the superior performance of the proposed method.

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.

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 score0.660
Threshold uncertainty score0.778

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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 head0.006
GPT teacher head0.173
Teacher spread0.167 · 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