MétaCan
Menu
Back to cohort

Quarter Car Suspension State Space Model and Full State Feedback Control for Real-Time Processing

2023· article· en· W4388426704 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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicMechatronics Education and Applications
Canadian institutionsnot available
Fundersnot available
KeywordsObservabilityControllabilityMechatronicsSuspension (topology)Control engineeringCar modelState spaceReal-time Control SystemObserver (physics)EngineeringQuarter (Canadian coin)AutomationState (computer science)Control (management)State-space representationComputer sciencePoint (geometry)Control theory (sociology)Artificial intelligenceAutomotive engineeringMechanical engineering

Abstract

fetched live from OpenAlex

This paper presents the examination of the suspension of a quarter car model from the point of view of observability and controllability. The modeling of an active suspension with full state feedback control and the design of a state observer is planned to be used for real-time processing of the university's self-driven vehicles under development. The validation of the concept is demonstrated also. These types of mechatronics design synergy, merged with advanced engineering pedagogy are essential for professionals with appropriate qualifications from universities to enter the industry.

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: Empirical
Teacher disagreement score0.514
Threshold uncertainty score0.380

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)0.0000.000

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 head0.012
GPT teacher head0.247
Teacher spread0.235 · 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

Citations5
Published2023
Admission routes1
Has abstractyes

Explore more

Same topicMechatronics Education and ApplicationsFrench-language works237,207