Random Finite Set Based Parameter Estimation Algorithm for Identifying Stochastic Systems

Parameter estimation is one of the key technologies for system identification. The Bayesian parameter estimation algorithms are very important for identifying stochastic systems. In this paper, a random finite set based algorithm is proposed to overcome the disadvantages of the existing Bayesian par...

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Detalles Bibliográficos
Autores principales: Wang, Peng, Li, Ge, Peng, Yong, Ju, Rusheng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7513093/
https://www.ncbi.nlm.nih.gov/pubmed/33265657
http://dx.doi.org/10.3390/e20080569

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7513093/
https://www.ncbi.nlm.nih.gov/pubmed/33265657
http://dx.doi.org/10.3390/e20080569

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