Stability analysis of piecewise affine systems with sliding modes
Bibliographic record
Abstract
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.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".