SMO-Based Distributed Tracking Control for Linear MASs With Event-Triggering Communication
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Bibliographic record
Abstract
This article is devoted to the robust tracking control issue for leader-following linear multiagent systems (MASs) in the case of unavailable states, external interferences, and limited network bandwidth. First, a distributed sliding-mode observer (SMO), including neighbor output information, which can effectively cope with external interferences in the closed-loop system and estimate the unmeasurable states of linear MASs, is established. Second, in order to prevent continuous communication and resize the activated interval, a distributed dynamic triggering transmission mechanism based on the SMO state is constructed. Then, the bounded consensus tracking performance of disturbed linear MASs with unavailable states is well realized by devising a distributed robust control protocol in terms of the SMO state and event-triggered communication mechanism. By employing the Lyapunov stability theory and Riccati equation, some ample conditions are deduced to guarantee the leader-following bound consensus for linear MASs subject to perturbations and unmeasured states. Finally, to further validate the validity of the SMO-based event-triggered communication control strategy, an emulation example is provided.
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Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it