A robust circle criterion observer with application to neural mass models

作者：Chong Michelle^*; Postoyan Romain; Nesic Dragan; Kuhlmann Levin; Varsavsky Andrea

来源：Automatica, 2012, 48(11): 2986-2989.

DOI：10.1016/j.automatica.2012.08.008

• System state observer
• Linear matrix inequality approach
• Brain models
• Biomedical

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.

• 出版日期2012-11