Turkish Journal of Electrical Engineering and Computer Sciences
DOI
10.3906/elk-1109-58
Abstract
This paper proposes a feedforward neural network-based control scheme to control the chaotic trajectories of a discrete-Hénon map in order to stay within an acceptable distance from the stable fixed point. An adaptive learning back propagation algorithm with online training is employed to improve the effectiveness of the proposed method. The simulation study carried in the discrete-Hénon system verifies the validity of the proposed control system.
Keywords
Neural network, backpropagation, online training, chaotic systems, adaptive learning, Hénon map
First Page
793
Last Page
803
Recommended Citation
GÖKCE, KÜRŞAD and UYAROĞLU, YILMAZ
(2013)
"Controlling the chaotic discrete-Hénon system using a feedforward neural network with an adaptive learning rate,"
Turkish Journal of Electrical Engineering and Computer Sciences: Vol. 21:
No.
3, Article 13.
https://doi.org/10.3906/elk-1109-58
Available at:
https://journals.tubitak.gov.tr/elektrik/vol21/iss3/13
Included in
Computer Engineering Commons, Computer Sciences Commons, Electrical and Computer Engineering Commons
