DocumentCode
2950787
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
Volume
2
fYear
1995
fDate
30 Apr-3 May 1995
Firstpage
1177
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Circuits and Systems, 1995. ISCAS '95., 1995 IEEE International Symposium on
Conference_Location
Seattle, WA
Print_ISBN
0-7803-2570-2
Type
conf
DOI
10.1109/ISCAS.1995.520354
Filename
520354
Link To Document