Reconfigurable Synchronization Control of Networked <scp>E</scp>uler‐<scp>L</scp>agrange Systems with Switching Communication Topologies
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
Abstract In this paper, a methodology is proposed for the design of reconfigurable control of networked heterogeneous E uler‐ L agrange systems subject to actuator faults. It is assumed that the underlying communication network topology is switching. We consider two types of actuator faults, namely: (i) additive, and (ii) loss of effectiveness. By modifying the originally designed “nominal” control algorithm developed for state synchronization of the healthy system, two reconfigurable control algorithms are developed for ensuring state synchronization in the presence of faults. Extensions of these results to velocity synchronization of networked E uler‐ Lagrange systems subject to two actuator faults are also provided. It is shown that state and velocity synchronization can be achieved for switchings among a family of connected communication topologies as well as for switchings among nominal controllers to reconfigured controllers and vice versa. Simulation results for a network of surface marine vehicles demonstrate the effectiveness and capabilities of our proposed reconfigurable control algorithms.
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 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 | 0.001 |
| 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 | 0.001 | 0.002 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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