A passivity-based observer for neural mass models
2018 ◽
Vol 36
(3)
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pp. 701-711
Keyword(s):
Abstract This paper presents a novel approach of designing a stabilizing observer for neural mass models which can simulate distinct rhythms in electroencephalography (EEG). Due to the structure characteristics, neural mass models are expressed as Lurie systems. The stabilizing observer is designed by using the Lurie system theory and the passive theory. The observer matrices are constructed via solutions of some linear matrix inequality (LMI) conditions. Numerical simulations are used to demonstrate the efficiency of the results.
2019 ◽
Vol 23
(4)
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pp. 203-209
2010 ◽
Vol 2010
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pp. 1-14
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2010 ◽
Vol 2010
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pp. 1-19
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2012 ◽
Vol 138
(1-2)
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pp. 401-445
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2002 ◽
Vol 24
(8)
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pp. 621-629
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