Chaos Universal Learning Network Clustering Control
Author(s) -
Kotaro Hirasawa,
Junichiro Misawa,
Jinglu Hu,
Junichi Murata,
Masanao Ohbayashi,
Yurio Eki
Publication year - 1998
Publication title -
journal of robotics and mechatronics
Language(s) - English
Resource type - Journals
eISSN - 1883-8049
pISSN - 0915-3942
DOI - 10.20965/jrm.1998.p0305
Subject(s) - synchronization of chaos , chaos (operating system) , cluster analysis , chaotic , computer science , nonlinear system , key (lock) , butterfly effect , control of chaos , control theory (sociology) , control (management) , artificial intelligence , physics , computer security , quantum mechanics
With chaos a key phenomenon in complex systems, researchers are paying increasing attention to chaotic systems. Chaos control such as OGY by Ott and Yorke were developed to stabilize such phenomena. This paper presents new control for clustering rather than restraining chaotic phenomena. A chaos network with chaotic phenomena is constructed using the Universal Learning Network (ULN), a general, effective tool for modeling and controlling large-scale nonlinear complex systems, including physical, social, and economic phenomena. Simulations showed chaotic phenomena clustering is controlled easily and effectively by the proposed method.
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