Title :
Classification of synchronized states in CNNs with higher order cells
Author :
Andreescu, Antonio ; Galias, Zbigniew ; Ogorzalek, M.J.
Author_Institution :
Dept. of Electr. Eng., Univ. of Min. & Metall., Krakow, Poland
Abstract :
The aim of this paper is to describe various types of synchronization phenomena discovered in our earlier studies of dynamics of Cellular Nonlinear Networks composed of locally interconnected chaotic circuits. In our computer experiments we confirmed existence of many types of clusters of cells showing different dynamics, e.g. synchronized periodic trajectories of different types, synchronized chaotic states; different lengths of synchronized clusters. Existence of synchronization and its type depends basically on the connection strengths.
Keywords :
cellular neural nets; chaos; nonlinear network analysis; synchronisation; CNNs; Cellular Nonlinear Networks; clusters; connection strengths; higher order cells; locally interconnected chaotic circuits; synchronization phenomena; synchronized chaotic states; synchronized clusters; synchronized periodic trajectories; synchronized states; Animals; Cellular networks; Cellular neural networks; Chaos; Ecosystems; Humans; Integrated circuit interconnections; Lattices; Local oscillators; Nervous system;
Conference_Titel :
Circuits and Systems, 2003. ISCAS '03. Proceedings of the 2003 International Symposium on
Print_ISBN :
0-7803-7761-3
DOI :
10.1109/ISCAS.2003.1205087