Covariance-Based Estimation for Clustered Sensor Networks Subject to Random Deception Attacks

In this paper, a cluster-based approach is used to address the distributed fusion estimation problem (filtering and fixed-point smoothing) for discrete-time stochastic signals in the presence of random deception attacks. At each sampling time, measured outputs of the signal are provided by a network...

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Detalles Bibliográficos
Autores principales: Caballero-Águila, Raquel, Hermoso-Carazo, Aurora, Linares-Pérez, Josefa
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6679323/
https://www.ncbi.nlm.nih.gov/pubmed/31337128
http://dx.doi.org/10.3390/s19143112

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6679323/
https://www.ncbi.nlm.nih.gov/pubmed/31337128
http://dx.doi.org/10.3390/s19143112

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