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Record W2135820851 · doi:10.1109/icma.2007.4303716

A Sliding Mode Observer for a Typical Diesel Engine Particulate Aftertreatment System

2007· article· en· W2135820851 on OpenAlexaff
Fan Su, Brandon W. Gordon, Henry Hong

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldChemical Engineering
TopicAdvanced Combustion Engine Technologies
Canadian institutionsConcordia University
Fundersnot available
KeywordsControl theory (sociology)Diesel particulate filterObserver (physics)ObservabilityState observerParticulatesDiesel fuelNonlinear systemSliding mode controlDiesel engineAutomotive engineeringSootControl systemCombustorCombustionComputer scienceEngineeringMathematicsControl (management)Chemistry

Abstract

fetched live from OpenAlex

A differential-algebraic system model for a typical diesel engine particulate aftertreatment system, which consists of exhaust pipes, a fuel burner for active soot regeneration control and a diesel particulate filter (DPF), is introduced. The model is developed based on control volume method and has features of nonlinear and high-index. The model is realized using a singularly perturbed sliding manifold (SPSM) approach, and system parameters are verified using experimental data. The stability and observability of linearized model are discussed. The original system model is transformed into a normal control form for which a sliding mode observer (SMO) is designed. An example application of the SMO on the aftertreatment system is demonstrated and results are compared with that of a Luenberger-like pole placement observer.

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.

How this classification was reachedexpand

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: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.804
Threshold uncertainty score0.623

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 head0.022
GPT teacher head0.276
Teacher spread0.254 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSimulation or modeling
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations2
Published2007
Admission routes1
Has abstractyes

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