Intelligent identification and control of chaotic dynamics

Author

Chen, Guanrong

Author_Institution

Dept. of Electr. & Comput. Eng., Houston Univ., TX, USA

Volume

3

fYear

1996

fDate

12-15 May 1996

Firstpage

5

Abstract

In recent years, there has been increasing interest and research work in the area of chaos control and synchronization. In particular, there has been some significant progress in the studies of identification, control and utilization of chaos by artificial intelligence technologies such as neural networks and fuzzy logic. This paper describes some of these results, with emphasis on the artificial neural networks approach with which the present author is currently involved

Keywords

adaptive control; chaos; continuous time systems; identification; intelligent control; neurocontrollers; nonlinear control systems; synchronisation; adaptive control methods; artificial intelligence technologies; artificial neural networks; chaos control; chaotic dynamics; continuous time nonlinear system; fuzzy logic; intelligent control; intelligent identification; synchronization; Artificial intelligence; Artificial neural networks; Chaos; Control systems; Feedforward neural networks; Fuzzy logic; Intelligent control; Neural networks; Nonlinear control systems; Nonlinear systems;

fLanguage

English

Publisher

ieee

Conference_Titel

Circuits and Systems, 1996. ISCAS '96., Connecting the World., 1996 IEEE International Symposium on

Conference_Location

Atlanta, GA

Print_ISBN

0-7803-3073-0

Type

conf

DOI

10.1109/ISCAS.1996.541466

Filename

541466