MétaCan
Menu
Back to cohort
Record W2528109759 · doi:10.1016/j.ifacol.2016.09.007

Fast Nonsingular Terminal Sliding Mode to Attenuate the Chattering for Missile Interception with Finite Time Convergence

2016· article· en· W2528109759 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

VenueIFAC-PapersOnLine · 2016
Typearticle
Languageen
FieldEngineering
TopicGuidance and Control Systems
Canadian institutionsYork University
Fundersnot available
KeywordsMissileControl theory (sociology)Rate of convergenceLine-of-sightTerminal (telecommunication)Terminal guidanceConvergence (economics)Invertible matrixMissile guidanceObserver (physics)Compensation (psychology)InterceptionConstraint (computer-aided design)Computer scienceMode (computer interface)EngineeringMathematicsPhysicsControl (management)Artificial intelligenceMechanical engineeringChannel (broadcasting)

Abstract

fetched live from OpenAlex

This paper proposed a new fast nonsingular terminal sliding mode to design terminal angle constraint guidance for intercepting maneuvering targets with attenuating the chattering of the command in the guidance law. A fast nonsingular terminal sliding mode (FNTSM) is established for dealing with the relationship between Line of sight (LOS) angle and the rate of LOS angle, the disturbance observer (DOB) is set up to calculate the compensation amount for counteracting the time-varying uncertainty produced by the design of guidance and targets’ maneuver. Combining with FNTSM and DOB, an adaptive law and a compensated parameter are adopted to ease the coupling relationship between the convergence rate of sliding variable and initial parameters design. Furthermore, the chattering amplitude can be reduced, even can be eliminated in some cases. Theoretical analysis and numerical simulations verify the effectiveness of the proposed method.

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: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.943
Threshold uncertainty score0.486

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 head0.008
GPT teacher head0.215
Teacher spread0.208 · 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