Self-Tuning Distributed Fusion Filter for Multi-Sensor Networked Systems with Unknown Packet Receiving Rates, Noise Variances, and Model Parameters

In this study, we researched the problem of self-tuning (ST) distributed fusion state estimation for multi-sensor networked stochastic linear discrete-time systems with unknown packet receiving rates, noise variances (NVs), and model parameters (MPs). Packet dropouts may occur when sensor data are s...

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Detalles Bibliográficos
Autores principales: Wang, Minhui, Sun, Shuli
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6832661/
https://www.ncbi.nlm.nih.gov/pubmed/31614955
http://dx.doi.org/10.3390/s19204436

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6832661/
https://www.ncbi.nlm.nih.gov/pubmed/31614955
http://dx.doi.org/10.3390/s19204436

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