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Record W2938398585 · doi:10.1109/ecace.2019.8679436

PID-SMC controller for a 2-DOF planar robot

2019· article· en· W2938398585 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
TopicAdaptive Control of Nonlinear Systems
Canadian institutionsSimon Fraser University
Fundersnot available
KeywordsPID controllerControl theory (sociology)Sliding mode controlConvergence (economics)Control systemController (irrigation)Computer sciencePlanarStability (learning theory)Control engineeringEngineeringControl (management)Nonlinear systemTemperature controlArtificial intelligencePhysics

Abstract

fetched live from OpenAlex

Sliding mode controller (SMC) is considered as a robust control method. In this paper, a combination of SMC and traditional proportional-integral-differential (PID) control scheme for a 2-degree of freedom (2-DOF) planar manipulator is considered. Since the PID control does not require precise system modelling, a sliding mode surface for the SMC control is designed using the PID component parameters of the manipulator. The PID control adjusts the errors of the closed loop system and the SMC control ensures fast convergence towards the sliding mode surface. Hence, this hybrid controller possesses features of both control schemes and obtains better system stability.

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 categoriesInsufficient payload (model declined to judge)
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 score0.957
Threshold uncertainty score1.000

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)0.0000.001

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 head0.009
GPT teacher head0.201
Teacher spread0.192 · 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

Citations24
Published2019
Admission routes1
Has abstractyes

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