Clustering control of chaos universal learning network

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

研究成果: Chapter in Book/Report/Conference proceedingConference contribution

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.

本文言語英語
ホスト出版物のタイトルIEEE World Congress on Computational Intelligence
編集者 Anon
出版社IEEE
ページ1482-1487
ページ数6
2
出版ステータス出版済み - 1998
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: 5 4 19985 9 1998

その他

その他Proceedings of the 1998 IEEE International Joint Conference on Neural Networks. Part 1 (of 3)
CityAnchorage, AK, USA
Period5/4/985/9/98

All Science Journal Classification (ASJC) codes

  • ソフトウェア

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