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Record W2155396310 · doi:10.1109/ical.2009.5262968

Fuzzy control of dissolved oxygen concentration in a bioreactor for wastewater applications

2009· article· en· W2155396310 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
FieldEngineering
TopicAdvanced Control Systems Optimization
Canadian institutionsUniversity of Guelph
Fundersnot available
KeywordsBioreactorRobustness (evolution)WastewaterControl theory (sociology)PID controllerProcess controlFuzzy logicController (irrigation)Fuzzy control systemProcess engineeringVolumetric flow rateComputer scienceControl engineeringEnvironmental scienceEngineeringProcess (computing)Temperature controlEnvironmental engineeringChemistryControl (management)Artificial intelligenceMechanics

Abstract

fetched live from OpenAlex

A fuzzy controller for the dissolved oxygen (DO) concentration of a wastewater bioreactor is presented. The controller is developed and tested based on simulations using first order plus dead time models obtained from experiments with an actual wastewater bioreactor. The controller uses feedback of the error in DO concentration and rate of change of the DO concentration and manipulates the valve position of the flow control valves supplying air to the bioreactor cells. The proposed controller has been tested for robustness across several process models including models incorporating proposed worst-case conditions. The performance of the controller is compared to traditional PID control and it shows several enhancements.

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: Empirical · Consensus signal: none
Teacher disagreement score0.983
Threshold uncertainty score0.293

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 head0.005
GPT teacher head0.212
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

Quick stats

Citations4
Published2009
Admission routes1
Has abstractyes

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