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Record W2386506660

Study on guaranteed cost control problems for a class of discrete impulsive switched system with time delays and parameter uncertainty

2009· article· en· W2386506660 on OpenAlex
Xinzhi Liu

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

VenueJournal of Shandong University · 2009
Typearticle
Languageen
FieldEngineering
TopicStability and Control of Uncertain Systems
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsParameterized complexityMathematicsControl theory (sociology)Discrete time and continuous timeLinear matrix inequalityQuadratic equationBounded functionController (irrigation)Norm (philosophy)Cost controlMathematical optimizationControl (management)Computer scienceAlgorithm
DOInot available

Abstract

fetched live from OpenAlex

Guaranteed cost control problems are investigated for a discrete impulsive switched system with norm-bounded parameter uncertainty and invariant time delays.A new quadratic cost index is introduced for the given system.Based on Lyapunov theory and the linear matrix inequality(LMI) techniques,a sufficient condition for the existence of guaranteed cost state feedback controller of discrete impulsive switched systems is derived in discrete domain.The sufficient condition is equivalent to the LMI solvability problem and the feasible solutions provide a parameterized representation of the performance bound.Finally,a numerical example illustrates the validity of the proposed method.

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 score0.179
Threshold uncertainty score0.514

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 head0.008
GPT teacher head0.195
Teacher spread0.187 · 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