Clustering control of chaos universal learning network

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

Research output: Contribution to conferencePaper

Abstract

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.

Original languageEnglish
Pages1482-1487
Number of pages6
Publication statusPublished - 1998 Jan 1
EventProceedings of the 1998 IEEE International Joint Conference on Neural Networks. Part 1 (of 3) - Anchorage, AK, USA
Duration: 1998 May 41998 May 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

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ASJC Scopus subject areas

  • Software

Cite this

Hirasawa, K., Misawa, J., Murata, J., Ohbayashi, M., & Hu, J. (1998). Clustering control of chaos universal learning network. 1482-1487. Paper presented at Proceedings of the 1998 IEEE International Joint Conference on Neural Networks. Part 1 (of 3), Anchorage, AK, USA, .