A Novel Hyperchaotic System and Its Synchronization Based on Neural Network

Bing Qi, Lin Feng Zhao, Liangrui Tang · 2011

There are lots of chaotic phenomena in the real world. The dynamic properties of chaos signals such as ergodicity, aperiodic, uncorrelated, broadband and noise-like have been proved to be useful for wide potential application. A novel hyperchaotic system is presented in this paper. The complicated dynamic behaviors are studied when the parameters are given. Furthermore, the synchronization of the hyperchaotic system is achieved based on neural network method. Theoretical analysis and simulation results show the feasibility and effectiveness of the scheme.

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