MétaCan
Menu
Back to cohort
Record W2885816868 · doi:10.23919/acc.2018.8430884

Dual mode extremum-seeking control via Lie-bracket averaging approximations

2018· article· en· W2885816868 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
FieldEngineering
TopicExtremum Seeking Control Systems
Canadian institutionsQueen's University
Fundersnot available
KeywordsControl theory (sociology)BracketDual (grammatical number)Stability (learning theory)Controller (irrigation)Dual modeMathematicsLie groupLie algebraComputer scienceState (computer science)Control (management)EngineeringAlgorithmArtificial intelligenceElectronic engineeringMachine learning

Abstract

fetched live from OpenAlex

This paper proposes a dual mode extremum-seeking controller (ESC) design based on a Lie bracket averaging technique. The stability analysis demonstrates that the practical asymptotical stability of the unknown optimum can be achieved for autonomous and non-autonomous systems. The application of the technique for the solution of realtime optimization problem with time-varying optimum state trajectories is presented. A simulation study demonstrates the ability of the proposed technique to remove the input bias that results in the application of existing Lie bracket design techniques to dynamical control systems.

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 categoriesMeta-epidemiology (narrow)
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 score0.987
Threshold uncertainty score1.000

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)0.0000.001

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 head0.008
GPT teacher head0.213
Teacher spread0.205 · 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

Citations16
Published2018
Admission routes1
Has abstractyes

Explore more

Same topicExtremum Seeking Control SystemsFrench-language works237,207