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Record W2122308748

Optimal boundary control of parabolic PDE with time-varying spatial domain

2011· article· en· W2122308748 on OpenAlex
James Ng, Stevan Dubljević

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 Symposium on Advanced Control of Industrial Processes · 2011
Typearticle
Languageen
FieldEngineering
TopicStability and Controllability of Differential Equations
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsOdeParabolic partial differential equationMathematicsPartial differential equationOrdinary differential equationBoundary (topology)Mathematical analysisContext (archaeology)Optimal controlDomain (mathematical analysis)Reaction–diffusion systemRepresentation (politics)Boundary value problemDistributed parameter systemHeat equationApplied mathematicsDifferential equationMathematical optimizationLaw
DOInot available

Abstract

fetched live from OpenAlex

This paper considers the optimal boundary control of reaction-diffusion process with time-varying spatial domain in the context of the Czochralski crystal growth process. A parabolic partial differential equation (PDE) model of the reaction-diffusion process which preserves the dynamical features attributed to the time-varying spatial domain is developed. The parabolic PDE is coupled to a second order ordinary differential equation (ODE) which describes the time-evolution of the spatial domain. The infinite-dimensional linear state space representation of the PDE system with control input at the boundary is reformulated into an abstract form and provides the framework for the optimal boundary control problem. The optimal control law is determined and numerical results of the closed-loop system are provided.

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: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.514
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 head0.014
GPT teacher head0.221
Teacher spread0.207 · 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