Intelligent identification and control of chaotic dynamics

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.