MétaCan
Menu
Back to cohort
Record W1584215620 · doi:10.1109/acc.1994.735072

H/sub ∞/-optimal sampled-data control: computation and design

2005· article· en· W1584215620 on OpenAlex
Tongwen Chen, Bruce A. Francis

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 Systems and Identification
Canadian institutionsUniversity of TorontoUniversity of Calgary
Fundersnot available
KeywordsComputationSet (abstract data type)Computer scienceFunction (biology)Exponential functionControl theory (sociology)Optimal controlMathematical optimizationIterative methodAlgorithmMathematicsApplied mathematicsControl (management)

Abstract

fetched live from OpenAlex

/spl Hscr//sub /spl infin//-optimal control of sampled-data systems is considered. The /spl Hscr//sub /spl infin// analysis or synthesis problem requires iteration on the achievable performance level /spl gamma/. For each iteration, the sampled-data problem is reduced to an equivalent discrete-time problem. In this paper, a new set of formulas is obtained for the equivalent discrete-time system; in each iteration, the formulas depend on computing only one matrix exponential function. The formulas are applied to a design example and the results show clear advantage of the direct sampled-data design approach over the conventional approach of analog design and digital implementation.

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: none
Teacher disagreement score0.963
Threshold uncertainty score0.240

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)0.0000.000

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 head0.029
GPT teacher head0.231
Teacher spread0.202 · 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

Citations0
Published2005
Admission routes1
Has abstractyes

Explore more

Same topicControl Systems and IdentificationFrench-language works237,207