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Record W2080971726 · doi:10.1109/robot.2010.5509256

Robust adaptive formation control of fully actuated marine vessels using local potential functions

2010· article· en· W2080971726 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

Venuenot available
Typearticle
Languageen
FieldComputer Science
TopicDistributed Control Multi-Agent Systems
Canadian institutionsÉcole de Technologie Supérieure
Fundersnot available
KeywordsBacksteppingControl theory (sociology)TrajectoryLyapunov functionController (irrigation)CollisionComputer scienceTracking (education)Control engineeringAdaptive controlControl (management)EngineeringNonlinear systemArtificial intelligencePhysics

Abstract

fetched live from OpenAlex

We study the problem of formation control and trajectory tracking for a group of fully actuated marine vehicles, in the presence of uncertainties and unknown disturbances. The objective is to achieve and maintain desired formation tracking, and guarantee no collision between the marine vehicles. The control development relies on existing potential functions which fall at a minimum value when the vehicles reach the desired formation, and blow up to infinity when the vehicles approach collision. The combination of the potential functions, backstepping and variable structure based design technique allows us to handle time varying disturbances by ensuring a stable formation. Using the sliding-Backstepping technique and Lyapunov synthesis, a stable coordination tracking controller is designed. Uniform boundedness of the closed loop signals system is achieved.

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 score0.956
Threshold uncertainty score0.579

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 communication0.0000.001
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 head0.021
GPT teacher head0.213
Teacher spread0.192 · 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

Citations6
Published2010
Admission routes1
Has abstractyes

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