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Record W4281776561 · doi:10.1002/acs.3441

Adaptive event‐triggered synchronization control for bilateral teleoperation system subjected to fixed‐time constraint

2022· article· en· W4281776561 on OpenAlexaff
Ying Zhao, Peter Liu, Huanqing Wang

Bibliographic record

VenueInternational Journal of Adaptive Control and Signal Processing · 2022
Typearticle
Languageen
FieldEngineering
TopicTeleoperation and Haptic Systems
Canadian institutionsCarleton University
Fundersnot available
KeywordsControl theory (sociology)TeleoperationSettling timeSynchronization (alternating current)Controller (irrigation)Computer scienceTracking errorFrame (networking)Constraint (computer-aided design)Stability (learning theory)Control systemControl (management)Control engineeringEngineering

Abstract

fetched live from OpenAlex

Summary The time‐constrained positional synchronization control problem for a class of bilateral teleoperation systems is investigated and a novel fixed‐time event‐triggered control scheme is developed. Different from existing methods, the controller is triggered in a nonperiodic manner, which reduces considerably the triggering frequency of control devices. This not only saves communication resource, but also extends the lifespan of system devices because of the reduction of switching times. The control settling time is further considered by introducing a fixed‐time stability theorem. Theoretical analysis as well as a simulation example verifies that the proposed control method can reduce remarkably the amount of control signals transmitted between the master and slave while ensuring that the system output tracking error converges to a small neighborhood close to zero within a fixed‐time frame.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.956
Threshold uncertainty score0.726

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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)0.0000.000

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 head0.008
GPT teacher head0.215
Teacher spread0.207 · 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.

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

Citations8
Published2022
Admission routes1
Has abstractyes

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