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 neura...

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Bibliographic Details
Main Authors: Xian Liu, Dongkai Miao, Qing Gao
Format: Article
Language:English
Published: Wiley 2014-01-01
Series:The Scientific World Journal
Online Access:http://dx.doi.org/10.1155/2014/215943
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