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Record W4416216549 · doi:10.1080/00423114.2025.2589913

A review on vehicle steer-by-wire control systems

2025· article· en· W4416216549 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

VenueVehicle System Dynamics · 2025
Typearticle
Languageen
FieldEngineering
TopicVehicle Dynamics and Control Systems
Canadian institutionsIntelligent Mechatronic Systems (Canada)University of WaterlooUniversity of New Brunswick
Fundersnot available
KeywordsFlexibility (engineering)Control (management)Key (lock)ActuatorControl systemFault toleranceArchitectureAdvanced driver assistance systems

Abstract

fetched live from OpenAlex

This paper comprehensively reviews vehicle Steer-by-wire (SbW) systems, highlighting the technology's key challenges, potential applications, and control methodologies. SbW systems replace traditional mechanical steering linkages with electronic control systems, offering greater flexibility in vehicle design, improved safety, and better integration with advanced driver assistance systems (ADAS). The review covers essential topics such as the general architecture of SbW systems, control approaches, including model-based, model-free, and hybrid control strategies, as well as fault tolerance and safety-critical considerations. Special attention is given to overcoming challenges related to system uncertainties, environmental disturbances, actuator saturation, and network-induced delays. The paper concludes with recommendations for future research on enhancing SbW systems' robustness, adaptive control, and real-time performance, making them suitable for autonomous and semi-autonomous vehicles.

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 categoriesMeta-epidemiology (narrow)
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 score0.761
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.003
GPT teacher head0.192
Teacher spread0.189 · 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