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Full observability and estimation of unknown inputs, states and parameters of nonlinear biological models
In this paper, we address the system identification problem in the context of biological modelling. We present and demonstrate a methodology for (i) assessing the possibility of inferring the unknown quantities in a dynamic model and (ii) effectively estimating them from output data. We introduce th...
Autores principales: | Villaverde, Alejandro F., Tsiantis, Nikolaos, Banga, Julio R. |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Royal Society
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6685009/ https://www.ncbi.nlm.nih.gov/pubmed/31266417 http://dx.doi.org/10.1098/rsif.2019.0043 |
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