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Record W2097142151 · doi:10.1109/icar.1997.620209

Set point stabilizing control for a mobile robot with trailer

2002· article· en· W2097142151 on OpenAlex
H. Michalska, Fazal ur Rehman

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
FieldEngineering
TopicControl and Dynamics of Mobile Robots
Canadian institutionsMcGill University
Fundersnot available
KeywordsNonholonomic systemTrailerPiecewiseMobile robotTransformation (genetics)Lyapunov functionControl theory (sociology)Class (philosophy)Computer scienceRobotSequence (biology)Set (abstract data type)Point (geometry)State (computer science)Constant (computer programming)Construct (python library)Control engineeringControl (management)MathematicsArtificial intelligenceEngineeringAlgorithmNonlinear system

Abstract

fetched live from OpenAlex

A novel method for the construction of state-dependent set point stabilizing control for a class of nonholonomic systems is applied to a model of a car-like robot with trailer-a typical representative of this class. This method does not necessitate conversion of the system model into a "chained form", and thus does not rely on any special transformation techniques. The feedback control are piecewise constant and the method is based on the introduction of a novel concept of guiding functions. The guiding functions are not Lyapunov functions, however, a comparison of their values allows one to determine a desired direction of system motion and to construct a sequence of controls such that the sum of the guiding functions decreases in an average sense.

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: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.943
Threshold uncertainty score0.557

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)0.0010.000

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 head0.011
GPT teacher head0.190
Teacher spread0.179 · 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

Citations0
Published2002
Admission routes1
Has abstractyes

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