Open AccessTHE SYNCHRONIZATION OF CHAOTIC SYSTEMS BASED ON RBF NETWORK IN THE PRESENCE OF PERTURBATION
Author(s) -
Xinping Guan,
Zhencheng Fan,
Haipeng Peng,
Yiqun Wang
Publication year - 2001
Publication title -
wuli xuebao
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.199
H-Index - 47
ISSN - 1000-3290
DOI - 10.7498/aps.50.1670
Subject(s) - chaotic , perturbation (astronomy) , artificial neural network , computer science , guan , chaotic systems , synchronization (alternating current) , lorenz system , control theory (sociology) , radial basis function , physics , artificial intelligence , telecommunications , channel (broadcasting) , control (management) , quantum mechanics , philosophy , humanities
Based on RBF neural network, the synchronization and different-structure synchronization of chaotic systems in the presence of perturbation are studied. The proposed method can overcome effectively the disruption of perturbation, and make the chaotic systems keep synchronous well. At last, Lorenz system is used to vertify the effectiveness of proposed method, and the simulation results confirm it.