Robust Suboptimal Output Synchronization of Nonlinear Heterogeneous Agents
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.
Bibliographic record
Abstract
In this paper, the problem of output synchronization of a set of nonlinear heterogeneous systems is investigated. The steering scenario is such that, subject to bounded uncertainties, the output of each of the agents will track the output of a generated reference command asymptotically. The structure of the controller is designed in such a way to tackle the problem in two steps. In the first step, local exosystems associated to each of the agents are designed. Consensus achievement among these exosystems is guaranteed provided that the communication graph is connected. In the second step, based on a combination of a state-dependent Riccati equation (SDRE) and integral sliding mode control (ISMC), distributed regulators are designed to track the generated reference command. The proposed controller scheme is proven to be suboptimal in the sense of asymptotically minimizing a quadratic cost functional while maintaining robustness against perturbations. Simulation results are presented to illustrate the efficacy of the proposed method.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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