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Record W4406648693 · doi:10.1002/rnc.7829

Finite‐Time Input‐To‐State Stability for Infinite‐Dimensional Systems

2025· article· en· W4406648693 on OpenAlexafffund
Xiaorong Sun, Jun Zheng, Guchuan Zhu

Bibliographic record

VenueInternational Journal of Robust and Nonlinear Control · 2025
Typearticle
Languageen
FieldEngineering
TopicStability and Controllability of Differential Equations
Canadian institutionsPolytechnique Montréal
FundersNatural Sciences and Engineering Research Council of CanadaNational Natural Science Foundation of China
KeywordsStability (learning theory)Control theory (sociology)State (computer science)Computer scienceMathematicsControl (management)AlgorithmArtificial intelligence

Abstract

fetched live from OpenAlex

ABSTRACT In this paper, we extend the notion of finite‐time input‐to‐state stability (FTISS) for finite‐dimensional systems to infinite‐dimensional systems. More specifically, we first prove an FTISS Lyapunov theorem for a class of infinite‐dimensional systems, namely, the existence of an FTISS Lyapunov functional (FTISS‐LF) implies the FTISS of the system, and then, provide a sufficient condition for ensuring the existence of an FTISS‐LF for a class of abstract infinite‐dimensional systems under the framework of compact semigroup theory and Hilbert spaces. As an application of the FTISS Lyapunov theorem, we verify the FTISS for a class of parabolic PDEs involving sublinear terms and distributed in‐domain disturbances. Since the non‐linear terms of the corresponding abstract system are not Lipschitz continuous, the well‐posedness is proved based on the application of compact semigroup theory, and the FTISS is assessed by using the Lyapunov method with the aid of an interpolation inequality. Numerical simulations are conducted to confirm the theoretical results.

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 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)0.001
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 score0.438
Threshold uncertainty score0.553

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
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 head0.013
GPT teacher head0.238
Teacher spread0.226 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSimulation or modeling
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

Citations0
Published2025
Admission routes2
Has abstractyes

Explore more

Same venueInternational Journal of Robust and Nonlinear ControlSame topicStability and Controllability of Differential EquationsFrench-language works237,207