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Record W4396878016 · doi:10.1109/taes.2024.3400177

Fixed-Time Practical Antisaturation Attitude Tracking Control of QUAV With Prescribed Performance: Theory and Experiments

2024· article· en· W4396878016 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

VenueIEEE Transactions on Aerospace and Electronic Systems · 2024
Typearticle
Languageen
FieldEngineering
TopicStability and Control of Uncertain Systems
Canadian institutionsDalhousie University
FundersNational Natural Science Foundation of China
KeywordsControl theory (sociology)Attitude controlSaturation (graph theory)Radar trackerTracking (education)Control (management)Computer scienceEngineeringControl engineeringMathematicsRadarArtificial intelligenceTelecommunicationsPsychology

Abstract

fetched live from OpenAlex

This paper investigates the fixed-time attitude tracking control problem for quadrotor unmanned aerial vehicle by considering actuator saturation and prescribed performance constraint. First, hyperbolic tangent function is used to deal with actuator saturation. Furthermore, by analyzing the relationship between the tracking error and the transient performance constraints, the prescribed performance function is designed to constrain the transient performance of tracking error. Then, a fixed-time tracking controller is addressed by the backstepping method and fuzzy logic systems, where it does not need the prior precise information of systems model. Theoretically, the stability of the closed-loop system is validated by Lyapunov stability theory. Finally, the hardware-in-the-loop test results validate the effectiveness of the proposed method.

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: Empirical
Teacher disagreement score0.686
Threshold uncertainty score0.661

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 head0.008
GPT teacher head0.230
Teacher spread0.222 · 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