A robust circle criterion observer with application to neural mass models

Michelle Chong, Romain Postoyan, Dragan Nešić, Levin Kuhlmann, Andrea Varsavsky

Research output: Contribution to journalArticleResearchpeer-review

34 Citations (Scopus)


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.

Original languageEnglish
Pages (from-to)2986-2989
Number of pages4
Issue number11
Publication statusPublished - 1 Nov 2012


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

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