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Record W2314489486 · doi:10.2514/6.2005-6134

An Extended Luenberger-Like Observer and its Application to Target Tracking

2005· article· en· W2314489486 on OpenAlex
Guchuan Zhu, Lahcen Saydy

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

VenueAIAA Guidance, Navigation, and Control Conference and Exhibit · 2005
Typearticle
Languageen
FieldEngineering
TopicAdaptive Control of Nonlinear Systems
Canadian institutionsPolytechnique Montréal
FundersElse Kröner-Fresenius-StiftungPolytechnique Montréal
KeywordsState observerControl theory (sociology)Computer scienceObserver (physics)Tracking (education)Control engineeringArtificial intelligenceControl (management)EngineeringPsychologyPhysicsNonlinear system

Abstract

fetched live from OpenAlex

This paper addresses target tracking problems from the viewpoint of nonlinear observers. It is shown that the difierential geometric nonlinear control system theory provides a universal framework for observability analysis of target tracking systems. Thank to the progresses in nonlinear observer theory, a better guarantee on the convergence of the tracking algorithms can be expected. A new nonlinear observer based on the approximate linearization of estimation error dynamics is proposed and is applied to the bearings-only target tracking. The convergence of the constructed tracking observers is addressed and is conflrmed by numerical simulations.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.747
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 communication0.0000.001
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 head0.012
GPT teacher head0.239
Teacher spread0.228 · 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