Clustering control of chaos universal learning network

Kotaro Hirasawa*, Junichiro Misawa, Junichi Murata, Masanao Ohbayashi, Jinglu Hu

*この研究の対応する著者

研究成果査読

2 被引用数 (Scopus)

抄録

Recently many researchers have paid much attention to chaotic systems since chaos is a key phenomena in complex systems. And the chaos control methods such as OGY method by Ott and Yorke have been developed in order to stabilize chaotic phenomena. This paper presents a new method for controlling the clustering of chaotic phenomena in stead of restraining them. A chaos network showing chaotic phenomena is constructed by the Universal Learning Network which has been proposed as a general and effective tool for modeling and control of nonlinear large-scale complex systems including physical, social and economical phenomena. From simulations, it has become clear that the clustering of chaotic phenomena can be controlled easily and effectively by the proposed method.

本文言語English
ページ1482-1487
ページ数6
出版ステータスPublished - 1998 1 1
外部発表はい
イベントProceedings of the 1998 IEEE International Joint Conference on Neural Networks. Part 1 (of 3) - Anchorage, AK, USA
継続期間: 1998 5 41998 5 9

Other

OtherProceedings of the 1998 IEEE International Joint Conference on Neural Networks. Part 1 (of 3)
CityAnchorage, AK, USA
Period98/5/498/5/9

ASJC Scopus subject areas

  • ソフトウェア

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