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Record W4388543798 · doi:10.1109/jsyst.2023.3326991

Multifixed-Wing-UAV Software-in-the-Loop Simulation Platform for System Design

2023· article· en· W4388543798 on OpenAlex
Fabrício C. Souza Xavier, Sérgio R. Barros dos Santos, Sidney Givigi

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 Systems Journal · 2023
Typearticle
Languageen
FieldEngineering
TopicReal-time simulation and control systems
Canadian institutionsQueen's University
Fundersnot available
KeywordsComputer scienceSoftwareMATLABFocus (optics)ArchitectureSoftware architectureHardware-in-the-loop simulationControl systemEmbedded systemControl engineeringSimulationEngineeringOperating system

Abstract

fetched live from OpenAlex

This article presents a software-in-the-loop simulation environment focused on multiple unmanned aerial vehicle (UAVs) systems for test and validation of cooperative control algorithms. The proposed architecture has several layers for low-level and high-level algorithms and is implemented using the robot operating system, Gazebo, and MATLAB/Simulink. This framework provides resources for researchers to develop, evaluate, and validate cooperative algorithms for multiaircraft systems using realistic models in real-world modeled environments that are easily reconfigurable. The system is open source and allows designers to add or modify configurations and algorithms to focus on their system's needs. Experiments and comparisons have been conducted to verify the performance of the proposed architecture and to describe how it can be used for system design.

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)0.003
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 score0.946
Threshold uncertainty score0.830

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
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 head0.273
Teacher spread0.225 · 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