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Record W2124245423 · doi:10.1109/icsmc.2000.886364

A multi-level reconfiguration control for holonic PLC

2002· article· en· W2124245423 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
TopicPetri Nets in System Modeling
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsControl reconfigurationComponent (thermodynamics)Task (project management)Computer scienceBlock (permutation group theory)Process (computing)Function (biology)Control systemControl (management)Embedded systemEngineeringOperating systemArtificial intelligenceSystems engineeringMathematics

Abstract

fetched live from OpenAlex

The system architecture for a holonic PLC (HPLC) is presented and the multi-level reconfiguration control mechanism for a function block (FB)-based PLC is detailed. Based on IEC-1499 FB model concepts, the concurrent process mechanism for FB configuration control and FB process control is put forward. In the presented approach, the dynamic reconfiguration control of the HPLC is handled at three control levels: function, component, and task control. Separating configuration control at the component level from task level facilitates a code-based component maintenance and task state transition process. It can carry out on-the-fly control for the HPLC by means of task level operation and smooth state transition cooperating with associated class maintenance under the limited capability of object oriented class dynamic configuration.

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 score0.985
Threshold uncertainty score0.325

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 head0.124
GPT teacher head0.286
Teacher spread0.162 · 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

Quick stats

Citations8
Published2002
Admission routes1
Has abstractyes

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