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Record W2056243190 · doi:10.1109/apex.2007.357619

Continuous-Time Digital Signal Processing Based Controller for High-Frequency DC-DC Converters

2007· article· en· W2056243190 on OpenAlex
Zhenyu Zhao, Vadim Smolyakov, Aleksandar Prodić

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

VenueConference proceedings/Conference proceedings - IEEE Applied Power Electronics Conference and Exposition · 2007
Typearticle
Languageen
FieldEngineering
TopicAdvanced DC-DC Converters
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsPulse-width modulationDigital signal processingDigital controlConvertersController (irrigation)Electronic engineeringTransient (computer programming)VoltageComputer scienceControl theory (sociology)Power (physics)Transient responseBuck converterElectrical engineeringEngineeringPhysics

Abstract

fetched live from OpenAlex

This paper introduces a digital dual-mode controller for low-power high-frequency dc-dc switch-mode power supplies (SMPS) suitable for on-chip implementation. In steady state the controller behaves as a conventional digital PWM controller, and during transients it utilizes continuous-time digital signal processing to achieve very fast transient response. The continuous time DSP is triggered by a sudden change of output voltage. Then it performs a charge-balance based algorithm to achieve voltage recovery through a single on-off action of the power switch. The effectiveness of the method is demonstrated on an experimental 5 V-to- 2V, 400 kHz, 2.5 W buck converter that recovers voltage in the time equivalent to 3 PWM switching cycles, approaching converter physical limitations.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Scholarly communication
Consensus categoriesMeta-epidemiology (narrow)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.720
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0020.003
Open science0.0010.000
Research integrity0.0010.001
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 head0.007
GPT teacher head0.203
Teacher spread0.196 · 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