Analysis and control of Andronov-Hopf oscillators with applications to neuronal populations

Abstract : One of the main motivations for analysis of networks of nonlinear oscillators lies in the role these play in undertanding synchronization and collective behavior in chemical and biological systems. In medical systems such networks are used for synchronization analysis of neuronal populations and control design for synchrony suppression. In this paper we use tools issued from nonlinear stability theory and graph theory for analysis and control of heterogeneous networked Andronov-Hopf oscillators.
Type de document :
Communication dans un congrès
54th IEEE Conference on Decision and Control (CDC), Dec 2015, Osaka, Japan. pp. 596-591, 2015, 〈Japan〉. 〈10.1109/cdc.2015.7402294 〉
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https://hal-centralesupelec.archives-ouvertes.fr/hal-01262559
Contributeur : Elena Panteley <>
Soumis le : mardi 26 janvier 2016 - 17:18:20
Dernière modification le : jeudi 26 avril 2018 - 15:49:24

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Elena Panteley, Antonio Loria, Ali El Ati. Analysis and control of Andronov-Hopf oscillators with applications to neuronal populations. 54th IEEE Conference on Decision and Control (CDC), Dec 2015, Osaka, Japan. pp. 596-591, 2015, 〈Japan〉. 〈10.1109/cdc.2015.7402294 〉. 〈hal-01262559〉

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