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Record W2130899543 · doi:10.1109/nafips.2004.1336284

Fuzzy sliding mode control for a singularly perturbed systems

2004· article· en· W2130899543 on OpenAlexaff
Ayman Elshabrawy, Howard M. Schwartz

Bibliographic record

VenueIEEE Annual Meeting of the Fuzzy Information, 2004. Processing NAFIPS '04. · 2004
Typearticle
Languageen
FieldEngineering
TopicAdaptive Control of Nonlinear Systems
Canadian institutionsCarleton University
Fundersnot available
KeywordsControl theory (sociology)Fuzzy logicSliding mode controlSingular perturbationNonlinear systemController (irrigation)Dimension (graph theory)Fuzzy control systemComputer sciencePerturbation (astronomy)MathematicsControl (management)Artificial intelligencePhysicsMathematical analysis

Abstract

fetched live from OpenAlex

Singular perturbation theory is found to be a good approach to obtain a reduced order model in large-scale systems which suffer from big dimension and ill conditions for its state matrix. This article presents the use of a single fuzzy sliding mode controller designed for the slow component of a singularly perturbed system. Choosing the sliding surface parameter for a sliding mode controller in this case is a challenging problem. A fuzzy logic algorithm is used to obtain a nonlinear sliding surface to obtain better-closed loop performance. The validity of the proposed approach is verified by example.

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)0.001
metaresearch head score (Gemma)0.001
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: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.718
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.002
Open science0.0010.000
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 head0.010
GPT teacher head0.229
Teacher spread0.219 · 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.

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

Citations1
Published2004
Admission routes1
Has abstractyes

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