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Record W2021347012 · doi:10.1504/ijhvs.2007.015706

Robust variable structure control for stabilisation of articulated steer vehicles by torque vectoring

2007· article· en· W2021347012 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

VenueInternational Journal of Heavy Vehicle Systems · 2007
Typearticle
Languageen
FieldEngineering
TopicVehicle Dynamics and Control Systems
Canadian institutionsBlackberry (Canada)University of Waterloo
Fundersnot available
KeywordsControl theory (sociology)EngineeringRobustness (evolution)TorqueVehicle dynamicsControl engineeringSliding mode controlVariable structure controlNonlinear systemAutomotive engineeringControl (management)Computer sciencePhysics

Abstract

fetched live from OpenAlex

In this work, a Variable Structure Control (VSC) system is developed to remove the instability of an articulated steer vehicle during the snaking mode. First, by using a linearised model of the vehicle, the equations of motion are derived in the state-space form. The uncertainties in the tyre-road contact parameters introduce some unknown and time-varying but bounded terms to these equations. This will be a basis for designing a robust VSC system to stabilise the vehicle during the snaking by a torque vectoring device. The robustness of the resulting controller is examined for different driving conditions in terms of the road surface, forward speed and vehicle parameters, based on the linearised model. The control system is also incorporated into a virtual prototype of the vehicle in ADAMS, and its operation is investigated. The results from the linear model analysis and simulations in ADAMS show that the controller can eliminate the instability effectively.

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)0.001
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 score0.491
Threshold uncertainty score0.628

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.007
GPT teacher head0.208
Teacher spread0.201 · 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