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Record W1569895542

A self detection and compensation of actuator backlash in the framework of constrained MPC design

2004· article· en· W1569895542 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

VenueAsian Control Conference · 2004
Typearticle
Languageen
FieldEngineering
TopicAdvanced Control Systems Optimization
Canadian institutionsMcMaster University
Fundersnot available
KeywordsBacklashControl theory (sociology)ActuatorModel predictive controlCompensation (psychology)Computer scienceControl engineeringEngineeringControl (management)Artificial intelligence
DOInot available

Abstract

fetched live from OpenAlex

In this paper, we present a so-called self detection and estimation scheme for the on-line implementation of our mixed integer quadratic programming (MIQP)based design of MPC, which addresses simultaneously the actuator saturation and backlash nonlinearity. The estimation scheme is required to determine a set of design parameters required by the MIQP-based MPC for compensating for the backlash effect. The scheme automatically locates the backlash in actuators, and then estimates the size of its dead-band, from the on-line measurements of plant inputs. We illustrate the application of the proposed method to the control of composition and liquid levels in a paper machine head-box system, where the MIQP-based MPC design equipped with the on-line detection and estimation scheme is able to compensate for the backlash effects, and then to regain its nominal performance in the presence of actuator backlash.

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 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 score0.949
Threshold uncertainty score0.417

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)0.0000.000

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 head0.009
GPT teacher head0.205
Teacher spread0.196 · 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