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Time-Delayed Interactions in Networks of Self-Adapting Hopf Oscillators
Author(s) -
Julio Rodríguez,
Max-Olivier Hongler,
Philippe Blanchard
Publication year - 2013
Publication title -
isrn mathematical analysis
Language(s) - English
Resource type - Journals
eISSN - 2090-4665
pISSN - 2090-4657
DOI - 10.1155/2013/816353
Subject(s) - limit cycle , limit (mathematics) , cyclostationary process , coupling (piping) , control theory (sociology) , convergence (economics) , topology (electrical circuits) , network topology , state (computer science) , statistical physics , computer science , matrix (chemical analysis) , adaptation (eye) , mathematics , physics , mathematical analysis , telecommunications , engineering , economics , control (management) , mechanical engineering , channel (broadcasting) , algorithm , materials science , artificial intelligence , economic growth , composite material , operating system , combinatorics , optics
A network of coupled limit cycle oscillators with delayed interactions is considered. The parameters characterizing the oscillator’s frequency and limit cycle are allowed to self-adapt. Adaptation is due to time-delayed state variables that mutually interact via a network. The self-adaptive mechanisms ultimately drive all coupled oscillators to a consensual cyclostationary state, where the values of the parameters are identical for all local systems. They are analytically expressible. The interplay between the spectral properties of the coupling matrix and the time delays determines the conditions for which convergence towards a consensual state takes place. Once reached, this consensual state subsists even if interactions are removed. In our class of models, the consensual values of the parameters depend neither on the delays nor on the network’s topologies.

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