Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
10398727 | Automatica | 2012 | 4 Pages |
Abstract
A robust circle criterion observer is designed and applied to neural mass models. At present, no existing circle criterion observers apply to the considered models, i.e. the required linear matrix inequality is infeasible. Therefore, we generalise available results to derive a suitable estimation algorithm. Additionally, the design also takes into account input uncertainty and measurement noise. We show how to apply the observer to estimate the mean membrane potential of neuronal populations of a popular single cortical column model from the literature.
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Engineering
Control and Systems Engineering
Authors
Michelle Chong, Romain Postoyan, Dragan NeÅ¡iÄ, Levin Kuhlmann, Andrea Varsavsky,