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 language | English |
|---|---|
| Title of host publication | IEEE World Congress on Computational Intelligence |
| Editors | Anon |
| Publisher | IEEE |
| Pages | 1482-1487 |
| Number of pages | 6 |
| Volume | 2 |
| Publication status | Published - 1998 |
| Event | Proceedings of the 1998 IEEE International Joint Conference on Neural Networks. Part 1 (of 3) - Anchorage, AK, USA Duration: May 4 1998 → May 9 1998 |
Other
| Other | Proceedings of the 1998 IEEE International Joint Conference on Neural Networks. Part 1 (of 3) |
|---|---|
| City | Anchorage, AK, USA |
| Period | 5/4/98 → 5/9/98 |
Fingerprint
All Science Journal Classification (ASJC) codes
- Software
Cite this
Clustering control of chaos universal learning network. / Hirasawa, Kotaro; Misawa, Junichiro; Murata, Junichi; Ohbayashi, Masanao; Hu, Jinglu.
IEEE World Congress on Computational Intelligence. ed. / Anon. Vol. 2 IEEE, 1998. p. 1482-1487.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Clustering control of chaos universal learning network
AU - Hirasawa, Kotaro
AU - Misawa, Junichiro
AU - Murata, Junichi
AU - Ohbayashi, Masanao
AU - Hu, Jinglu
PY - 1998
Y1 - 1998
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=0031632902&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=0031632902&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:0031632902
VL - 2
SP - 1482
EP - 1487
BT - IEEE World Congress on Computational Intelligence
A2 - Anon, null
PB - IEEE
ER -