MétaCan
Menu
Back to cohort
Record W2794271051 · doi:10.1049/mnl.2017.0681

Tracking of square reference signals using internal model‐based LQG robust controller for positioning of a micro‐electro‐mechanical systems micromirror

2018· article· en· W2794271051 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

VenueMicro & Nano Letters · 2018
Typearticle
Languageen
FieldEngineering
TopicAdvanced MEMS and NEMS Technologies
Canadian institutionsUniversity of Waterloo
FundersGuangdong Science and Technology DepartmentNatural Science Foundation of Guangdong ProvinceNational Natural Science Foundation of China
KeywordsLinear-quadratic-Gaussian controlControl theory (sociology)Controller (irrigation)Tracking (education)Noise (video)Optimal projection equationsComputer scienceGaussianLorentz forcePhysicsMagnetic fieldControl (management)Artificial intelligence

Abstract

fetched live from OpenAlex

This work studies the Lorentz force‐based polymer hard‐magnetic micromirror for optical switch application. For this purpose, a robust control design is proposed, which is based on the linear quadratic gaussian method incorporating with the well‐known internal model principle. The proposed scheme can simultaneously be easily implemented and it can improve the positioning performances and noise rejection ability. The effectiveness is verified by experimental results.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.331
Threshold uncertainty score1.000

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 head0.035
GPT teacher head0.258
Teacher spread0.223 · 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