Chaos Universal Learning Network Clustering Control
Kotaro Hirasawa*, Junichiro Misawa*, Jinglu Hu*, Junichi Murata*, Masanao Ohbayashi* and Yurio Eki**
*Department of Electrical and Electronic Systems Engineering, Kyushu University., 6-10-1 Hakozaki, Higashi-ku, Fukuoka 812-8581, Japan
**Ohmika Works of Hitachi Ltd., 2-1-5 Omika-cho, Hitachi 319-1293, Japan
Received:April 1, 1998Accepted:June 5, 1998Published:August 20, 1998
Keywords:Clustering control, Chaos, Universal learning network
With chaos a key phenomenon in complex systems, researchers are paying increasing attention to chaotic systems. Chaos control such as OGY by Ott and Yorke were developed to stabilize such phenomena. This paper presents new control for clustering rather than restraining chaotic phenomena. A chaos network with chaotic phenomena is constructed using the Universal Learning Network (ULN), a general, effective tool for modeling and controlling large-scale nonlinear complex systems, including physical, social, and economic phenomena. Simulations showed chaotic phenomena clustering is controlled easily and effectively by the proposed method.
Cite this article as:K. Hirasawa, J. Misawa, J. Hu, J. Murata, M. Ohbayashi, and Y. Eki, “Chaos Universal Learning Network Clustering Control,” J. Robot. Mechatron., Vol.10 No.4, pp. 305-310, 1998.Data files: