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Record W2158769743 · doi:10.1109/iciea.2015.7334208

Research on delay-dependent stability of parallel DC-DC converter system based on a Wireless communication

2015· article· en· W2158769743 on OpenAlexaff
Zongxiang Chen, Ting Jiang, Lusheng Ge, Jian Wang, Yifan Liu, Yanfei Liu

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldComputer Science
TopicInterconnection Networks and Systems
Canadian institutionsQueen's University
Fundersnot available
KeywordsCorrectnessComputer scienceMATLABElectronic engineeringWirelessTransmission delayCommunications systemTransmission (telecommunications)EngineeringTelecommunicationsAlgorithm

Abstract

fetched live from OpenAlex

The current-sharing technology based on Wireless communication allows the current of DC-DC parallel system to be divided equally very well. However, the information transmitted by the network inevitably exist a transmission delay, which makes the traditional system into a time-delay systems. This paper presents a method to compute the Critical Delay of a DC-DC Parallel delay system. The method uses frequency-domain techniques and the DC-DC Parallel System linearized average model to obtain the critical delay. Then a Simulation Model with two parallel modules was built. And the main circuit of the modules is BUCK converter. Finally using the MATLAB simulation tools, we demonstrate the correctness of the 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.

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)0.004
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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.981
Threshold uncertainty score0.363

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.000
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 science0.0010.000
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 head0.121
GPT teacher head0.331
Teacher spread0.210 · 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

Citations2
Published2015
Admission routes1
Has abstractyes

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