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A Robust Nonlinear Observer for a Class of Neural Mass Models
A new method of designing a robust nonlinear observer is presented for a class of neural mass models by using the Lur'e system theory and the projection lemma. The observer is robust towards input uncertainty and measurement noise. It is applied to estimate the unmeasured membrane potential of...
Autores principales: | Liu, Xian, Miao, Dongkai, Gao, Qing |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi Publishing Corporation
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3981059/ https://www.ncbi.nlm.nih.gov/pubmed/24790554 http://dx.doi.org/10.1155/2014/215943 |
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