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Record W2563365141 · doi:10.1016/j.ifacol.2016.10.311

Characterizing Equilibria in Reach Control Under Affine Feedback**This research is supported by The Natural Sciences and Engineering Research Council of Canada.

2016· article· en· W2563365141 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.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueIFAC-PapersOnLine · 2016
Typearticle
Languageen
FieldEngineering
TopicAdvanced Control Systems Optimization
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsSimplexControllabilityAffine transformationSet (abstract data type)TriangulationMathematicsSimplex algorithmControl (management)Mathematical optimizationControl theory (sociology)Computer scienceApplied mathematicsLinear programmingCombinatoricsPure mathematicsGeometry

Abstract

fetched live from OpenAlex

The Reach Control Problem (RCP) deals with driving the states of an affine system on a simplex to leave the simplex through a pre-determined facet. A necessary condition for the solvability of the RCP by a given feedback is that there are no closed-loop equilibria in the simplex. As a stepping stone to fully characterizing when equilibria can be removed from the simplex using feedback, this paper studies the geometric structure of open-loop equilibria. Using a triangulation in which the set of potential equilibria intersects the interior of the simplex, we prove that the equilibrium set contains at most one point, in both the single-input and multi-input case. We additionally improve on the currently available results on reach controllability to characterize when the closed-loop equilibria can be pushed off the simplex using affine feedback.

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)0.004
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: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.970
Threshold uncertainty score0.990

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.043
GPT teacher head0.280
Teacher spread0.237 · 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