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Record W4252841157 · doi:10.5220/0006861904350442

Finite-Time Altitude and Attitude Tracking of a Tri-Rotor UAV using Modified Super-Twisting Second Order Sliding Mode

2018· article· en· W4252841157 on OpenAlexaff
Yassine Kali, Jorge Rodas, Maarouf Saad, Khalid Benjelloun, Magno Ayala, Raúl Gregor

Bibliographic record

VenueProceedings of the 15th International Conference on Informatics in Control, Automation and Robotics · 2018
Typearticle
Languageen
FieldEngineering
TopicAdaptive Control of Nonlinear Systems
Canadian institutionsÉcole de Technologie SupérieureUniversité du Québec à Montréal
FundersConsejo Nacional de Ciencia y Tecnología
KeywordsControl theory (sociology)Attitude controlRotor (electric)Tracking (education)Mode (computer interface)Computer scienceAerospace engineeringAltitude (triangle)Sliding mode controlEngineeringPhysicsArtificial intelligenceNonlinear systemMathematicsMechanical engineeringPsychologyControl (management)Geometry

Abstract

fetched live from OpenAlex

This paper presents the problem of robust altitude and attitude trajectory tracking of a tri-rotor Unmanned Aerial Vehicle (UAV) based on a finite-time second order sliding mode control algorithm. The chosen algorithm is a modified super-twisting control with double closed-loop feedback regulation that provides fast finite-time convergence even when the system trajectories are far from the sliding surface, robustness against a wide class of uncertainties and disturbances.

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)0.000
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: Empirical · Consensus signal: none
Teacher disagreement score0.002
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
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 head0.038
GPT teacher head0.282
Teacher spread0.243 · 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

Citations3
Published2018
Admission routes1
Has abstractyes

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