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Record W2166421080 · doi:10.1109/icinfa.2010.5512081

Robust stability analysis of asymptotic second-order sliding mode control system using Lyapunov function

2010· article· en· W2166421080 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

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicAdaptive Control of Nonlinear Systems
Canadian institutionsToronto Metropolitan University
Fundersnot available
KeywordsExponential stabilityControl theory (sociology)Lyapunov functionSliding mode controlMathematicsRobust controlConvergence (economics)Control systemStability theoryLinear systemApplied mathematicsMathematical analysisComputer scienceNonlinear systemControl (management)PhysicsEngineering

Abstract

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This paper investigates the robust stability of an asymptotic second-order sliding mode (2nd-SM) control system, where a first-order sliding mode (1st-SM) control law is implemented to realize an asymptotic 2nd-SM control for a linear time-invariant continuous-time system with a relative degree of two. It is found in the paper that a 2nd-SM can be reached locally and asymptotically by a 1st-SM control law if the sum of the system poles is less than the sum of the system zeros. The asymptotic convergence to the 2nd-SM and the robust stability of the asymptotic 2nd-SM control system are for the first time proved with Lyapunov functions, in the presence of matched external disturbances and parameter uncertainties. Finally, the effectiveness of the asymptotic 2nd-SM control algorithm is verified through 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)0.001
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 score0.506
Threshold uncertainty score0.905

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
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 head0.024
GPT teacher head0.219
Teacher spread0.195 · 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

Quick stats

Citations8
Published2010
Admission routes1
Has abstractyes

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