Synchronization of Chaotic Neural Networks with Packet Dropouts and Uniform Quantization
Cybersecurity and Cyberforensics Conference(2018)
Abstract
This paper is concerned with the synchronization problem for chaotic neural networks under the networked environment. A novel synchronization model in the simultaneous presence of packet dropouts and uniform quantization is established. In virtue of the stochastic analysis approach and inequality technique, a sufficient condition is obtained under which the synchronization error is input-to-state stable in probability. Finally, a numerical example is presented to show the feasibility and effectiveness of the proposed results.
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Key words
Synchronization,Chaotic Neural Networks,Packet Dropouts,Uniform Quantization,Input-to-state Stability
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