MétaCan
Menu
Back to cohort
Record W1963956195 · doi:10.2514/6.2011-6573

Synthesis of Optimal Finite Frequency Controllers for Flexible Robotic Manipulator Control

2011· article· en· W1963956195 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.

Bibliographic record

VenueAIAA Guidance, Navigation, and Control Conference · 2011
Typearticle
Languageen
FieldEngineering
TopicControl and Stability of Dynamical Systems
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsControl theory (sociology)Robot manipulatorManipulator (device)Computer scienceControl engineeringOptimal controlControl (management)Automatic frequency controlRobotEngineeringMathematical optimizationMathematicsArtificial intelligence

Abstract

fetched live from OpenAlex

In this paper, we explore the relationship between the hybrid passivity and finite gain systems framework and the generalized Kalman-Yakubovich-Popov (GKYP) Lemma. In particular, we investigate how to optimally design finite frequency (FF) controllers which possess strictly positive real (SPR) properties over a low frequency range, and bounded real (BR) properties over a high frequency range. Such FF SPR/BR controllers will be used to control systems which have experienced a passivity violation. We first review the hybrid systems framework and how linear time-invariant hybrid systems relate to FF positive real (PR), FF SPR, and FF BR systems and the GKYP Lemma. A convex optimization problem is posed where constraints are imposed via linear matrix inequalities yielding optimal FF SPR/BR controllers. The FF SPR/BR controllers are optimal in that they approximate the traditional H2 control solution. FF SPR/BR controllers are used to control both single- and two-link flexible manipulators. Experimental results successfully demonstrate closed-loop stability via the hybrid systems framework, and implementation of the proposed controller synthesis scheme.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.839
Threshold uncertainty score1.000

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 head0.019
GPT teacher head0.208
Teacher spread0.189 · 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