Title :
Intelligent identification and control of chaotic dynamics
Author_Institution :
Dept. of Electr. & Comput. Eng., Houston Univ., TX, USA
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;
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
DOI :
10.1109/ISCAS.1996.541466
