MétaCan
Menu
Back to cohort
Record W2004350115 · doi:10.1080/15599612.2010.510587

A Decentralized Robust PID Controller Design for the Shape Control of a Magnetic Fluid Deformable Mirror

2010· article· en· W2004350115 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

VenueInternational Journal of Optomechatronics · 2010
Typearticle
Languageen
FieldPhysics and Astronomy
TopicAdaptive optics and wavefront sensing
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsControl theory (sociology)Robustness (evolution)PID controllerComputer scienceRobust controlController (irrigation)Control engineeringControl systemControl (management)Artificial intelligenceEngineeringTemperature control

Abstract

fetched live from OpenAlex

This article presents a systematic approach to the design of a decentralized robust PID controller to regulate the surface shape of a magnetic fluid deformable mirror (MFDM). The proposed approach offers the simplicity of the decentralized controller implementation while accounting for robustness and performance constraints. The controller design problem is formulated as a multi-objective H ∞/H 2 static output feedback problem. The desired controller is obtained by iteratively solving properly formulated linear matrix inequalities (LMIs). Finally, the experimental evaluation of the proposed controller performance on a MFDM-based adaptive optics system illustrates the effectiveness of the proposed MFDM surface shape control approach.

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 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 score0.856
Threshold uncertainty score0.425

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.018
GPT teacher head0.268
Teacher spread0.250 · 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