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Record W1987634318 · doi:10.1109/acc.2014.6859071

Stability analysis of piecewise affine systems with sliding modes

2014· article· en· W1987634318 on OpenAlex
Tiago Jackson May Dezuo, Luís Rodrigues, Alexandre Trofino

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
TopicStability and Control of Uncertain Systems
Canadian institutionsConcordia University
Fundersnot available
KeywordsMathematicsAffine transformationState spaceQuadratic equationApplied mathematicsControl theory (sociology)Boundary (topology)PiecewiseStability (learning theory)Lyapunov functionExponential stabilityMathematical analysisComputer scienceNonlinear systemPure mathematicsGeometry

Abstract

fetched live from OpenAlex

This paper proposes new sufficient conditions for stability analysis of Piecewise Affine (PWA) systems. The conditions are based on a convex combination of Piecewise Quadratic (PWQ) Lyapunov functions and are given in terms of Linear Matrix Inequalities (LMIs), which can be solved efficiently using available software packages. There are three contributions of the new conditions presented in this paper. First, the conditions guarantee exponential stability of the state dynamics even in the presence of non-destabilizing sliding modes of all possible dimensions smaller than the dimension of the state space. Second, the conditions can handle the important case where the equilibrium point is located at a boundary between affine subsystems. Third, sufficient conditions for stability of systems independently of the parametrization of the boundary surfaces are derived as a corollary. The new method presented in this paper leads to a unified methodology for stability analysis of switched affine systems and piecewise affine systems with sliding modes.

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: Empirical
Teacher disagreement score0.253
Threshold uncertainty score0.415

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 head0.010
GPT teacher head0.175
Teacher spread0.165 · 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