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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...
Autores principales: | Wang, Peng, Li, Ge, Peng, Yong, Ju, Rusheng |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2018
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Materias: | |
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 |
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