In a recent paper, we proposed an evolutionary strategy for control and synchronization based on an extension of the Edge-Snapping method which was presented earlier in the literature. Here we show the generality of our methodology by applying it to a network of Rossler chaotic oscillators. Finally, we test the robustness properties of the evolutionary strategy, to variations of dynamical and control parameters.
An evolutionary strategy for adaptive network control and synchronization and its applications / Scafuti, Francesco; Aoki, Takaaki; DI BERNARDO, Mario. - 48:18(2015), pp. 193-198. (Intervento presentato al convegno 4th IFAC Conference on Analysis and Control of Chaotic Systems, CHAOS 2015 tenutosi a Minami-Osawa Campus of Tokyo Metropolitan University, jpn nel 2015) [10.1016/j.ifacol.2015.11.035].
An evolutionary strategy for adaptive network control and synchronization and its applications
SCAFUTI, FRANCESCO;DI BERNARDO, MARIO
2015
Abstract
In a recent paper, we proposed an evolutionary strategy for control and synchronization based on an extension of the Edge-Snapping method which was presented earlier in the literature. Here we show the generality of our methodology by applying it to a network of Rossler chaotic oscillators. Finally, we test the robustness properties of the evolutionary strategy, to variations of dynamical and control parameters.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
