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Conference Papers Year : 2022

Online estimation of Hilbert-Schmidt operators and application to kernel reconstruction of neural fields

Abstract

An adaptive observer is designed for online estimation of Hilbert-Schmidt operators from online measurement of the state for some class of nonlinear infinite-dimensional dynamical systems. Convergence is ensured under detectability and persistency of excitation assumptions. The class of systems considered is motivated by an application to kernel reconstruction of neural fields, commonly used to model spatiotemporal activity of neuronal populations. Numerical simulations confirm the relevance of the approach.
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Dates and versions

hal-03660185 , version 1 (05-05-2022)
hal-03660185 , version 2 (06-10-2022)

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Cite

Lucas Brivadis, Antoine Chaillet, Jean Auriol. Online estimation of Hilbert-Schmidt operators and application to kernel reconstruction of neural fields. 61st IEEE Conference on Decision and Control (CDC 2022), Dec 2022, Cancun, Mexico. ⟨10.1109/cdc51059.2022.9992414⟩. ⟨hal-03660185v2⟩
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