Synchronization between two different noise-perturbed chaotic systems with unknown parameters

贾飞蕾,; 徐伟,; 都琳,

doi:10.1088/1009-1963/16/11/018

Cited by 3 publications

(1 citation statement)

References 22 publications

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“…Different types of chaos synchronization are achieved in different chaotic systems [2][3][4][5], such as full synchronization, generalized synchronization, phase synchronization, delay synchronization, projective synchronization, anti-synchronization and so on. People have proposed a variety of methods of synchronization, and have also made some success over the past decade.…”

Section: Introductionmentioning

confidence: 99%

Synchronous control of a four-dimensional hyperchaotic system and its application in secure communication

Zhao

Tang

2010

2010 3rd IEEE International Conference on Broadband Network and Multimedia Technology (IC-BNMT)

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The synchronization of a couple of hyperchaotic systems is studied. Based on Lyapunov stabilization theory, the sufficient conditions and range of the control parameters for self synchronization of the hyperchaotic system are derived through nonlinear feedback control method when parameters of the system are known. Synchronization of the hyperchaotic systems can be achieved quickly by selecting appropriate control parameters. A scheme of secure communication with injection type is designed based on synchronization of the coupled systems, and it can enhance the privacy of communications comparing with the simple chaotic masking method. The simulation results prove the feasibility and effectiveness of the scheme.

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Section: Introductionmentioning

confidence: 99%

Synchronous control of a four-dimensional hyperchaotic system and its application in secure communication

Zhao

Tang

2010

2010 3rd IEEE International Conference on Broadband Network and Multimedia Technology (IC-BNMT)

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Consensus problems of multi-agent systems with noise perturbation

Sun

Ruan

2008

Chinese Phys. B

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Adaptive synchronization in an array of asymmetric coupled neural networks

Gao¹,

Cui²

2009

Chinese Phys. B

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This paper investigates the global synchronization in an array of linearly coupled neural networks with constant and delayed coupling. By a simple combination of adaptive control and linear feedback with the updated laws, some sufficient conditions are derived for global synchronization of the coupled neural networks. The coupling configuration matrix is assumed to be asymmetric, which is more coincident with the realistic network. It is shown that the approaches developed here extend and improve the earlier works. Finally, numerical simulations are presented to demonstrate the effectiveness of the theoretical results.

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Synchronization between two different noise-perturbed chaotic systems with unknown parameters

Cited by 3 publications

References 22 publications

Synchronous control of a four-dimensional hyperchaotic system and its application in secure communication

Synchronous control of a four-dimensional hyperchaotic system and its application in secure communication

Consensus problems of multi-agent systems with noise perturbation

Adaptive synchronization in an array of asymmetric coupled neural networks

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