DocumentCode
1849399
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
fYear
2008
fDate
18-21 Nov. 2008
Firstpage
2846
Lastpage
2851
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;
fLanguage
English
Publisher
ieee
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
Type
conf
DOI
10.1109/ICYCS.2008.405
Filename
4709433
Link To Document