Title :
Identification and control of chaotic systems: an artificial neural network approach
Author :
Chen, Guanrong ; Dong, Xiaoning
Author_Institution :
Dept. of Electr. & Comput. Eng., Houston Univ., TX, USA
fDate :
30 Apr-3 May 1995
Abstract :
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
Keywords :
cellular neural nets; chaos; circuit analysis computing; digital simulation; identification; nonlinear network analysis; oscillators; NN controllers; artificial neural network approach; chaotic Duffing oscillator; chaotic cellular neural networks; chaotic systems; computer simulations; Adaptive control; Artificial neural networks; Chaos; Computer networks; Computer simulation; Control systems; Neural networks; Nonlinear control systems; Nonlinear systems; Senior members;
Conference_Titel :
Circuits and Systems, 1995. ISCAS '95., 1995 IEEE International Symposium on
Conference_Location :
Seattle, WA
Print_ISBN :
0-7803-2570-2
DOI :
10.1109/ISCAS.1995.520354
