MétaCan
Menu
Back to cohort
Record W2735483073 · doi:10.1109/ccdc.2017.7978873

Design of the nonlinear controller for a quadrotor trajectory tracking

2017· article· en· W2735483073 on OpenAlex
Yunsheng Fan, Yabo Cao, Yongsheng Zhao

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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicAdaptive Control of Nonlinear Systems
Canadian institutionsnot available
Fundersnot available
KeywordsBacksteppingControl theory (sociology)TrajectoryNonlinear systemTracking (education)PID controllerController (irrigation)MATLABControl engineeringComputer scienceEngineeringAdaptive controlControl (management)Artificial intelligencePhysicsTemperature control

Abstract

fetched live from OpenAlex

In order to solve the trajectory tracking of a quadrotor called QBall2 which is produced by Quanser Company of Canada, an integral backstepping controller is designed. A nonlinear mathematical model of QBall2 in the presence of external disturbances is obtained and a MATLAB/Simulink simulation system is built to validate the nonlinear trajectory tracking controller and compare the difference of PID and integral backstepping. The simulation results illustrate the good tracking performances of the designed nonlinear trajectory tracking controller.

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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.976
Threshold uncertainty score0.344

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 head0.048
GPT teacher head0.263
Teacher spread0.214 · 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

Citations4
Published2017
Admission routes1
Has abstractyes

Explore more

Same topicAdaptive Control of Nonlinear SystemsFrench-language works237,207