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Record W4388430730 · doi:10.1109/tii.2023.3326543

Tube-Based Model Predictive Control for Constrained Unmanned Marine Vehicles With Thruster Faults

2023· article· en· W4388430730 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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueIEEE Transactions on Industrial Informatics · 2023
Typearticle
Languageen
FieldEngineering
TopicAdaptive Control of Nonlinear Systems
Canadian institutionsCarleton University
FundersNatural Sciences and Engineering Research Council of CanadaNational Natural Science Foundation of China
KeywordsModel predictive controlControl theory (sociology)Multiplicative functionIntegral sliding modeComputer scienceFault (geology)Control engineeringSet (abstract data type)Fault toleranceRemotely operated underwater vehicleTrajectoryFault detection and isolationEngineeringControl (management)Sliding mode controlMobile robotActuatorMathematicsDistributed computing

Abstract

fetched live from OpenAlex

In this article, the dynamic positioning (DP) control problem of constrained unmanned marine vehicles with thruster faults is investigated. To deal with the system constraints and thruster faults effect simultaneously, a codesign framework based on integral sliding mode control (ISMC) and model predictive control (MPC) is proposed. The main design challenge comes from the multiplicative uncertainty introduced by thruster faults, which may cause failures in the DP control with traditional MPC. To solve this problem, we propose to use an improved tube-based MPC in which a fault uncertain set can be characterized and the terminal set containing the fault factor can be derived. Combining the ISMC we show that, all possible trajectories of the unmanned marine vehicle are constrained in the tube for all possible realizations of uncertainties. Finally, the simulation results demonstrate the effectiveness of the proposed codesign framework.

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: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.977
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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 head0.037
GPT teacher head0.235
Teacher spread0.198 · 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