TY - JOUR
T1 - Controlling the chaotic response to a prospective external signal using back-propagation neural networks
AU - Qin, Weiyang
AU - Yang, Yongfeng
AU - Zhang, Jinfu
PY - 2009/10
Y1 - 2009/10
N2 - For a chaotic system, a control scheme is presented, based on the back-propagation neural network (BPNN). The scheme can control the chaotic response to a prospective external signal, which can be periodic, nonlinear or even a non-analytical discontinuous function. For a chaotic system with high dimensions, each variable can be controlled for the different signals. For Lorenz, Rossler and Duffing systems, simulations are carried out and the proposed scheme is proved to be effective within a short control time.
AB - For a chaotic system, a control scheme is presented, based on the back-propagation neural network (BPNN). The scheme can control the chaotic response to a prospective external signal, which can be periodic, nonlinear or even a non-analytical discontinuous function. For a chaotic system with high dimensions, each variable can be controlled for the different signals. For Lorenz, Rossler and Duffing systems, simulations are carried out and the proposed scheme is proved to be effective within a short control time.
KW - Chaos control
KW - Neural network
KW - Nonlinear dynamic system
UR - http://www.scopus.com/inward/record.url?scp=64049111006&partnerID=8YFLogxK
U2 - 10.1016/j.nonrwa.2008.10.003
DO - 10.1016/j.nonrwa.2008.10.003
M3 - 文章
AN - SCOPUS:64049111006
SN - 1468-1218
VL - 10
SP - 2985
EP - 2989
JO - Nonlinear Analysis: Real World Applications
JF - Nonlinear Analysis: Real World Applications
IS - 5
ER -