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Record W2118420035 · doi:10.1109/acc.2011.5991356

Application of optimal boundary control to reaction-diffusion system with time-varying spatial domain

2011· article· en· W2118420035 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

Venuenot available
Typearticle
Languageen
FieldComputer Science
TopicAdvanced Mathematical Modeling in Engineering
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsOdeMathematicsOrdinary differential equationBoundary (topology)Distributed parameter systemAnalytic semigroupPartial differential equationDomain (mathematical analysis)Optimal controlMathematical analysisParabolic partial differential equationSemigroupRepresentation (politics)Boundary value problemOperator (biology)Reaction–diffusion systemControl theory (sociology)Applied mathematicsDifferential equationComputer scienceMathematical optimizationControl (management)Law

Abstract

fetched live from OpenAlex

This paper considers the optimal boundary control of a parabolic partial differential equation (PDE) with time-varying spatial domain which is coupled to a second order ordinary differential equation (ODE) describing the time evolution of the domain boundary. The infinite-dimensional state space representation of the PDE yields a linear non autonomous evolution system with an operator which generates a two-parameter semigroup with analytic expression provided in this work. The nonautonomous evolution system is trans formed into an extended system which enables the optimal boundary control problem to be considered. The optimal control law of the extended system is determined and numerical results of the closed-loop feedback 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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.768
Threshold uncertainty score0.320

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 head0.008
GPT teacher head0.206
Teacher spread0.198 · 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