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Record W2042829117 · doi:10.1243/09596518jsce738

Filtering controller in sliding mode: From the estimation to control

2009· article· en· W2042829117 on OpenAlexafffund
Shanping Wang, Richard Burton, Saeid Habibi

Bibliographic record

VenueProceedings of the Institution of Mechanical Engineers Part I Journal of Systems and Control Engineering · 2009
Typearticle
Languageen
FieldComputer Science
TopicTarget Tracking and Data Fusion in Sensor Networks
Canadian institutionsMcMaster UniversityUniversity of Saskatchewan
FundersElse Kröner-Fresenius-StiftungUniversity of Saskatchewan
KeywordsControl theory (sociology)Controller (irrigation)Variable structure controlVariable (mathematics)Mode (computer interface)Sliding mode controlComputer scienceControl engineeringFilter (signal processing)Basis (linear algebra)Control (management)EngineeringMathematicsArtificial intelligenceNonlinear systemComputer visionPhysics

Abstract

fetched live from OpenAlex

The paper introduces the concept of a filtering controller (FC), which uses sliding mode control as its basis. The FC ‘seamlessly’ integrates a smoothed variable structure filter with a variable structure controller. The paper provides the conceptual derivations of variable structure filtering and its integration with a controller in the presence of uncertainties and non-linearities in control systems. Concepts supported with basic describing equations are used to demonstrate how the FC is developed.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.002
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0010.002
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0020.000

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 head0.202
Teacher spread0.194 · 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 source (direct Gemma or distilled Codex), 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

Citations4
Published2009
Admission routes2
Has abstractyes

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Same venueProceedings of the Institution of Mechanical Engineers Part I Journal of Systems and Control EngineeringSame topicTarget Tracking and Data Fusion in Sensor NetworksFrench-language works237,207