Identification and control of chaotic systems: an artificial neural network approach
Guanrong Chen, Xiaoning Dong · 2002
Our interest in this paper is to design and apply the simplest possible artificial neural networks for identifying and controlling chaotic systems. To illustrate the effectiveness of these NN controllers, we show some convincing computer simulations in the identification and control of the chaotic Duffing oscillator and chaotic cellular neural networks.