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Record W2164102621 · doi:10.1109/acc.2000.876995

Stable control of an electro-hydraulic actuator during contact tasks: Theory and experiments

2000· article· en· W2164102621 on OpenAlexaff
N. Niksefat, Q. Wu, Nariman Sepehri

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicHydraulic and Pneumatic Systems
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsControl theory (sociology)Controller (irrigation)ActuatorLyapunov functionPiecewisePosition (finance)Stability (learning theory)UniquenessComputer scienceLyapunov stabilityHydraulic cylinderControl engineeringMathematicsEngineeringControl (management)Nonlinear systemMechanical engineeringArtificial intelligencePhysics

Abstract

fetched live from OpenAlex

This paper describes a systematic approach for controller design and stability analysis of hydraulic actuators during contact task. The goal is to design and experimentally evaluate a robust controller that: (i) is capable of following a reference position or a reference force in free or constraint space, respectively and (ii) guarantees the stability during the transition phase. A piecewise continuous controller is designed which regulates the actuator's position and upon contact with the environment switches to a force controller. Since the system is nonsmooth due to a discontinuous controller, a new extended version of Lyapunov's second method for nonsmooth systems is used for stability analysis of the developed control system. The stability is proven by using a smooth Lyapunov function candidate under the condition of existence and uniqueness of Filippov's solution (1964, 1979). Experimental results verify that the proposed controller can effectively control contact tasks; meanwhile it is realizable and therefore suitable for practical 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.

How this classification was reachedexpand

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.105
Threshold uncertainty score0.999

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)0.0020.000

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 head0.005
GPT teacher head0.209
Teacher spread0.204 · 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 teacher head, not a consensus.

Study designBench or experimental
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

Citations11
Published2000
Admission routes1
Has abstractyes

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