MétaCan
Menu
Back to cohort
Record W2751905196 · doi:10.1109/aim.2017.8014150

Nonlinear PD sliding mode control for robotic manipulator

2017· article· en· W2751905196 on OpenAlex
Jianan Tang, P. R. Ouyang, W. H. Yue, Hankyul Kang

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 institutionsToronto Metropolitan University
Fundersnot available
KeywordsNonlinear systemSliding mode controlControl theory (sociology)Robot manipulatorComputer scienceMode (computer interface)Manipulator (device)Control engineeringRobotControl (management)EngineeringArtificial intelligencePhysicsHuman–computer interaction

Abstract

fetched live from OpenAlex

Trajectory tracking is one of the most control tasks for robotic manipulators. To take the advantages of nonlinear PD (NPD) control and sliding mode control (SMC), a NPD-SMC law is proposed for tracking control of a 3-DOF planar robotic manipulator. The NPD-SMC is a nonlinear feedback control without the requirement of system dynamic modeling. The proposed NPD-SMC is applied for linear and nonlinear tracking problems and the performances are compared with existing controllers. It is demonstrated that the NPD-SMC can achieve better tracking performances.

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: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.972
Threshold uncertainty score0.749

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 head0.033
GPT teacher head0.275
Teacher spread0.242 · 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

Citations8
Published2017
Admission routes1
Has abstractyes

Explore more

Same topicAdaptive Control of Nonlinear SystemsFrench-language works237,207