Title :
A method for controlling chaos with echo state network
Author :
Yi-bin Li ; Yong Song ; Xue-wen Rong
Author_Institution :
Sch. of Control Sci. & Eng., Shandong Univ., Jinan, China
Abstract :
Owing to the original Ott-Grebogi-Yorke(OGY) method can only be applied to the discrete dynamical systems or continuous dynamical systems which can be described by Poincare mapping, a novel method for controlling chaos is proposed by resorting to echo state network. The network was trained by the input and output sample which were generated by OGY method. The chaos controller can drive the chaotic attractor embedded in the unstable orbit to the unstable fixed point. The simulation results of Henon mapping verify that neural network controller can drive the chaos system to unstable fixed point in short time. The neural network controller greatly speeds up the stabilization process of controlling chaos system.
Keywords :
Henon mapping; chaos; neurocontrollers; nonlinear dynamical systems; recurrent neural nets; Henon mapping; Ott Grebogi Yorke method; Poincare mapping; chaos control method; chaotic attractor; continuous dynamical system; discrete dynamical system; echo state network; neural network control; Artificial neural networks; Chaos; Control systems; Educational institutions; Nonlinear dynamical systems; Orbits; Henon mapping; OGY method; chaos control; echo state network;
Conference_Titel :
Intelligent Control and Automation (WCICA), 2010 8th World Congress on
Conference_Location :
Jinan
Print_ISBN :
978-1-4244-6712-9
DOI :
10.1109/WCICA.2010.5553854