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Record W2483669036 · doi:10.1109/acc.2016.7526481

Pattern preserving pole placement and stabilization for linear systems

2016· article· en· W2483669036 on OpenAlexaff
Connor Holmes, Mireille E. Broucke

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldMathematics
TopicAdvanced Differential Equations and Dynamical Systems
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsControllabilityDiagonalHomogeneous spaceBlock matrixBlock (permutation group theory)Matrix (chemical analysis)Diagonal matrixFull state feedbackSet (abstract data type)AutomorphismMathematicsLinear systemComputer scienceTopology (electrical circuits)Control theory (sociology)AlgorithmPure mathematicsApplied mathematicsCombinatoricsControl (management)Mathematical analysisArtificial intelligenceGeometry

Abstract

fetched live from OpenAlex

A method to characterize the symmetries inherent within physical systems via automorphism groups has already been established. In this paper, we define a specific block diagonal form to which a matrix can be decomposed if and only if it conforms with a given set of symmetries. We employ this decomposition and resulting block diagonal form to define controllability and stabilizability and give a pole placement algorithm when the feedback matrix is constrained by the inherent patterns of the system. Finally, an example is given which demonstrates our controllability notion and pole placement algorithm.

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)0.001
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: none
Teacher disagreement score0.002
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.058
GPT teacher head0.327
Teacher spread0.270 · 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

Citations4
Published2016
Admission routes1
Has abstractyes

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