THE SYNCHRONIZATION OF CHAOTIC SYSTEMS BASED ON RBF NETWORK IN THE PRESENCE OF PERTURBATION | Zendy

Guan Xinping | Zendy; Zhengping Fan | Zendy; Haipeng Peng | Zendy; Yiqun Wang | Zendy

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THE SYNCHRONIZATION OF CHAOTIC SYSTEMS BASED ON RBF NETWORK IN THE PRESENCE OF PERTURBATION

Author(s) -

Guan Xinping,

Zhengping Fan,

Haipeng Peng,

Yiqun Wang

Publication year - 2001

Publication title -

acta physica sinica

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.

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