Adaptive Control Strategy for Projective Synchronization of Neural Networks

Abdurahman, A., Hu, C., Muhammadhaji, A., & Jiang, H. (2017, June). Adaptive Control Strategy for Projective Synchronization of Neural Networks. In International Symposium on Neural Networks(pp. 253-260). Springer, Cham. Link

Abstract

In this paper, we studied the projective synchronization of a type of chaotic neural networks (NNs) by introducing a novel adaptive control strategy. We obtained some useful sufficient criteria for the projective synchronization of considered networks via designing novel adaptive controller and introducing a suitable Lyapunov function. In addition, we gave a numerical example to validate the feasibility of the obtained results. It is worth to mention that the projective synchronization is a very general and it includes chaos stabilization, anti-synchronization and complete synchronization as its special cases.

 

I’m not going to pretend to understand this level of computer science but two of the authors were Uyghur so I thought it would be nice to showcase the work of Uyghur scientists, just to show that we aren’t only politics and art.

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