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

Autor:	Elena Panteley, Antonio Loria, Ali El Ati
Přispěvatelé:	Laboratoire des signaux et systèmes (L2S), Université Paris-Sud - Paris 11 (UP11)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS), Saint Petersburg State University of Information Technologies Mechanics and Optics
Jazyk:	angličtina
Rok vydání:	2015
Předmět:	Collective behavior Nonlinear oscillators Exponential stability Control theory Synchronization networks Nonlinear stability Synchronization (computer science) Graph theory Control (linguistics) 3. Good health Mathematics [SPI.AUTO]Engineering Sciences [physics]/Automatic
Zdroj:	2015 54th IEEE Conference on Decision and Control (CDC) 54th IEEE Conference on Decision and Control (CDC) 54th IEEE Conference on Decision and Control (CDC), Dec 2015, Osaka, Japan. pp.596-591, ⟨10.1109/cdc.2015.7402294⟩ CDC
DOI:	10.1109/cdc.2015.7402294⟩
Popis:	International audience; 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.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_dedup___::732ef2042e2d1a0610b936b167503d83 https://hal-centralesupelec.archives-ouvertes.fr/hal-01262559/document Zobrazit plný text záznamu