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Record W2164427921 · doi:10.1109/robot.2005.1570176

Overall Stability Analysis of Hydraulic Actuator’s Switching Contact Control Using the Concept of Lyapunov Exponents

2006· article· en· W2164427921 on OpenAlexaff
Pooya Sekhavat, Nariman Sepehri, Christine Wu

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicHydraulic and Pneumatic Systems
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsLinearizationControl theory (sociology)Lyapunov functionLyapunov exponentNonlinear systemActuatorLyapunov equationLyapunov redesignStability (learning theory)Discontinuity (linguistics)ComputationLyapunov stabilityMathematicsNonlinear controlComputer scienceControl (management)Mathematical analysisPhysicsAlgorithm

Abstract

fetched live from OpenAlex

Control law switching in a complete contact task control of hydraulic actuators results in a highly nonlinear nonsmooth system. Stability analysis of such a system using Lyapunov direct method involves restrictive modeling assumptions. This paper presents an alternative approach for stability analysis using the concept of Lyapunov exponents. Advantages and challenges of applying the method on a hydraulically actuated switching contact task control system are discussed in detail. Issues considered in the analysis include solution analysis of nonlinear and linearized systems, linearization of nonlinear equations at the instants of discontinuity, existence of Lyapunov exponents, and stability of numerical computations. Theoretical results are complemented with test experiments.

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)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.001
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

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)0.0010.000

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 head0.015
GPT teacher head0.224
Teacher spread0.209 · 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 designSimulation or modeling
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
Published2006
Admission routes1
Has abstractyes

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