In recent years synchronization of chaotic dynamics has received ever increasing attention. Herein, cellular neural networks (CNNs) are considered as a tool for generating hyperchaotic behaviors. By exploiting a system theory approach, a technique for synchronizing a large class of CNNs is developed. In particular, a necessary and sufficient condition for hyperchaos synchronization is given, which is based on the controllability property of linear systems. Finally, in order to show the effectiveness of the proposed technique, the synchronization of a CNN constituted by Chua's circuits is illustrated.
Synchronization of hyperchaotic cellular neural networks: A system Theory Approach / Grassi, G.; Mascolo, S.. - STAMPA. - (1998), pp. 1504-1509. (Intervento presentato al convegno 2nd IEEE World Congress on Computational Intelligence (WCCI 98) tenutosi a Anchorage, AK nel May 4-9, 1998) [10.1109/IJCNN.1998.685999].
Synchronization of hyperchaotic cellular neural networks: A system Theory Approach
S. Mascolo
1998-01-01
Abstract
In recent years synchronization of chaotic dynamics has received ever increasing attention. Herein, cellular neural networks (CNNs) are considered as a tool for generating hyperchaotic behaviors. By exploiting a system theory approach, a technique for synchronizing a large class of CNNs is developed. In particular, a necessary and sufficient condition for hyperchaos synchronization is given, which is based on the controllability property of linear systems. Finally, in order to show the effectiveness of the proposed technique, the synchronization of a CNN constituted by Chua's circuits is illustrated.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
