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Record W2242305296 · doi:10.1049/iet-cta.2014.0867

Stability of composite thermodynamic systems with interconnection constraints

2015· article· en· W2242305296 on OpenAlexafffund
Dmitry Gromov, Peter E. Caines

Bibliographic record

VenueIET Control Theory and Applications · 2015
Typearticle
Languageen
FieldEngineering
TopicControl and Stability of Dynamical Systems
Canadian institutionsMcGill University
FundersSaint Petersburg State UniversityNatural Sciences and Engineering Research Council of CanadaMcGill University
KeywordsInterconnectionComposite numberControl theory (sociology)Stability (learning theory)Computer scienceControl engineeringMaterials scienceEngineeringControl (management)Artificial intelligenceAlgorithmTelecommunications

Abstract

fetched live from OpenAlex

In this study, a formulation of thermodynamic systems in terms of contact geometry is proposed. Furthermore, a systematic approach to the description and analysis of composite thermodynamic systems, that is, systems containing a number of interacting thermodynamic subsystems, is developed. In such systems, there are always heat, work or matter flows between the subsystems which, together with constructive restrictions, form the interconnection structure of the composite system. This structure can be described by a set of constraints imposed on the system. In geometric terms, this can be seen as a restriction of the system space to a certain ‘constraint sub‐manifold’. Moreover, there are kinematic (non‐holonomic) constraints which restrict the system's dynamics while imposing no restrictions on the system configuration. Both geometric and kinematic constraints and their influence on the dynamics of the composite system are discussed. Finally, several types of composite thermodynamic system are presented and the LaSalle Invariance Principle is used to analyse the asymptotic dynamical behaviour of one important example.

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0010.002
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.195
Teacher spread0.188 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations15
Published2015
Admission routes2
Has abstractyes

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