Clustering control of chaos universal learning network

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

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

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
Title of host publicationIEEE World Congress on Computational Intelligence
Editors Anon
PublisherIEEE
Pages1482-1487
Number of pages6
Volume2
Publication statusPublished - 1998
EventProceedings of the 1998 IEEE International Joint Conference on Neural Networks. Part 1 (of 3) - Anchorage, AK, USA
Duration: May 4 1998May 9 1998

Other

OtherProceedings 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

  • Software

Fingerprint Dive into the research topics of 'Clustering control of chaos universal learning network'. Together they form a unique fingerprint.

Cite this