Title :
Application of Local Activity Theory to Rossler CNN Model
Author :
Meng, Yan ; Min, Lequan ; Ji, Yu
Author_Institution :
Schools of Appl. Sci. & Inf. Eng., Univ. of Sci. & Technol. Beijing, Beijing
Abstract :
Coupled nonlinear dynamical systems (CNDpsilas) have been widely studied in the recent years. However the dynamical properties of the CNDpsilas are difficult to deal with. The local activity principle of the Cellular Nonlinear Network (CNN) introduced by Chua has provided a powerful tool for studying the emergence of complex patterns in a homogeneous lattice formed by coupled cells. Based on the Rossler equation introduced by Rossler, this paper establishes a two dimensional coupled Rossler CNN system. Using the analytical criteria for the local activity calculates the chaos edge of the Rossler CNN system. The numerical simulations show that the emergence may exist if the selected cell parameters are nearby the edge of chaos domain. The Rossler CNN can exhibit periodicity and chaos.
Keywords :
cellular neural nets; 2D coupled Rossler CNN system; Rossler CNN model; Rossler equation; cell parameters; cellular nonlinear network; chaos domain; chaos edge; coupled nonlinear dynamical systems; local activity principle; local activity theory; Cellular networks; Cellular neural networks; Chaos; Couplings; Lattices; Local activities; Nonlinear dynamical systems; Nonlinear equations; Numerical simulation; Power system modeling; Cellular nonlinear network; chaos; local activity; numerical simulation;
Conference_Titel :
Young Computer Scientists, 2008. ICYCS 2008. The 9th International Conference for
Conference_Location :
Hunan
Print_ISBN :
978-0-7695-3398-8
Electronic_ISBN :
978-0-7695-3398-8
DOI :
10.1109/ICYCS.2008.405