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.
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Abdurahman, A., Hu, C., Muhammadhaji, A., & Jiang, H. (2017). Adaptive control strategy for projective synchronization of neural networks. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 10261 LNCS, pp. 253–260). Springer Verlag. https://doi.org/10.1007/978-3-319-59072-1_30
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