Minimum Sensor Placement for Robust Observability of Structured Complex Networks
This code addresses the problems on the robust structural design of complex networks. More precisely, it addresses the problem of deploying the minimum number of dedicated sensors, i.e., those measuring a single state variable, that ensure the network to be structurally observable under disruptive scenarios. The disruptive scenarios considered are as follows: (i) the malfunction/loss of one arbitrary sensor, and (ii) the failure of connection (either unidirectional or bidirectional communication) between a pair of agents.
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Sergio Pequito (2026). Minimum Sensor Placement for Robust Observability of Structured Complex Networks (https://es.mathworks.com/matlabcentral/fileexchange/57454-minimum-sensor-placement-for-robust-observability-of-structured-complex-networks), MATLAB Central File Exchange. Recuperado .
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- AI and Statistics > Deep Learning Toolbox > Train Deep Neural Networks > Function Approximation, Clustering, and Control > Function Approximation and Clustering > Pattern Recognition >
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Inspirado por: A Framework for Structural Input/Output and Control Configuration Selection in Large-Scale Systems
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| Versión | Publicado | Notas de la versión | |
|---|---|---|---|
| 1.0.0.0 |
