Title :
Control chaotic systems based on BP neural network with a new perturbation
Author :
Zong, Xiao-ping ; Geng, Jun
Author_Institution :
Coll. of Electron. & Inf. Eng., Hebei Univ., Baoding, China
Abstract :
A new perturbation model is proposed, and used to train BP neural network for chaotic systems in this paper. The method requires no previous knowledge about the system to be controlled, including the dimensionality of the system and location of unstable fixed points, can be extended to other chaos control. It was tested on the Henon and Logistic maps, and the simulation results showed that it could make the chaos present periodic motion.
Keywords :
backpropagation; chaos; neurocontrollers; nonlinear control systems; perturbation techniques; BP neural network; control chaotic system; logistic map; perturbation model; system dimensionality; unstable fixed point; Artificial neural networks; Chaos; Control systems; Information analysis; Motion control; Neural networks; Nonlinear control systems; Pattern analysis; Pattern recognition; Wavelet analysis; BP neural networks; Chaos control; Chaotic system; Periodic motion;
Conference_Titel :
Wavelet Analysis and Pattern Recognition, 2009. ICWAPR 2009. International Conference on
Conference_Location :
Baoding
Print_ISBN :
978-1-4244-3728-3
Electronic_ISBN :
978-1-4244-3729-0
DOI :
10.1109/ICWAPR.2009.5207408
