Estimation for Fuzzy Semi-Markov Jump Systems With Indirectly Accessible Mode Information and Nonideal Data Transmission
Bibliographic record
Abstract
This article proposes a novelH∞state estimation scheme for a family of Takagi-Sugeno fuzzy semi-Markov jump systems with indirectly accessible mode information and nonideal data transmission. To address estimation of the indirectly accessible modes, the observed-mode sequence emitted by emission probabilities is utilized in this article. By extending the classic Lyapunov stability theory, a set of novel convex stability criteria is proposed by eliminating the nonconvex terms in stabilization conditions with the aid of certain techniques. The proposed stability criteria are utilized to ensure theH∞performance of the studied fuzzy systems. In addition, numerically checkable conditions on the existence of a fuzzy observed-mode-dependent estimator are formulated to guarantee the σ-error mean square stability of the underlying error system with a guaranteedH∞disturbance attenuation level. The developed theoretical results are illustrated by an application of a single-link robotic arm.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".