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Record W1970162627 · doi:10.1109/cdc.2014.7040142

ℒ<inf>2</inf>-stability for a class of nonlinear systems via potential-based realizations

2014· article· en· W1970162627 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
TopicControl and Stability of Dynamical Systems
Canadian institutionsQueen's University
Fundersnot available
KeywordsConvexityAffine transformationNonlinear systemStability (learning theory)DecompositionMathematicsHamiltonian (control theory)Class (philosophy)Applied mathematicsPure mathematicsMathematical optimizationComputer sciencePhysicsArtificial intelligence

Abstract

fetched live from OpenAlex

This paper considers the problem of representing a sufficiently smooth control affine system as a structured potential-driven system and to exploit the obtained representation to study ℒ <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sub> -stability and stabilization. The representation problem has been studied extensively in recent years for particular classes of potential-driven systems, however exploiting these structures, for example generalized Hamiltonian systems, to study input-output stability was not fully investigated in the literature. The present note proposes a geometric decomposition technique, based on the Hodge decomposition theorem, to reexpress a given vector field into a potential-driven form. Using the proposed decomposition technique, finite gain stability conditions are developed, in the form of Hamilton-Jacobi inequalities, based on the convexity of a computed potential.

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 score0.907
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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 head0.010
GPT teacher head0.208
Teacher spread0.198 · 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