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Record W3107655179 · doi:10.1002/rnc.5335

Tracking control of single‐link flexible‐joint manipulator with unmodeled dynamics and dead zone

2020· article· en· W3107655179 on OpenAlexaff
Ze Yan, Xuzhi Lai, Qingxin Meng, Pan Zhang, Min Wu

Bibliographic record

VenueInternational Journal of Robust and Nonlinear Control · 2020
Typearticle
Languageen
FieldEngineering
TopicDynamics and Control of Mechanical Systems
Canadian institutionsConcordia University
FundersHigher Education Discipline Innovation ProjectNational Natural Science Foundation of China
KeywordsControl theory (sociology)Tracking (education)Link (geometry)Dead zoneComputer scienceDynamics (music)Robust controlJoint (building)Stability (learning theory)Process (computing)Manipulator (device)Process dynamicsControl (management)Control engineeringEngineeringControl systemRobotArtificial intelligencePhysics

Abstract

fetched live from OpenAlex

Abstract This article presents a tracking control approach for a flexible‐joint manipulator (FJM) with single link. This approach can achieve the tracking control objective and reject the influences caused by unmodeled dynamics and dead zone. The main contributions are: (1) a robust tracking control approach for the FJM with single link based on equivalent‐input‐disturbance (EID) method is proposed; (2) the unmodeled dynamics and dead zone are considered simultaneously in the tracking control of the FJM with single link; (3) in the control process, velocity measurements are not required in our approach. The robust stability of the EID‐based approach is proved, and the validity for the FJM with single link is illustrated by simulation results.

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: Simulation or modeling
GenreCandidate signal: Methods · Consensus signal: Methods
Teacher disagreement score0.002
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.017
GPT teacher head0.204
Teacher spread0.187 · 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
GenreMethods

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

Citations29
Published2020
Admission routes1
Has abstractyes

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Same venueInternational Journal of Robust and Nonlinear ControlSame topicDynamics and Control of Mechanical SystemsFrench-language works237,207