Abstract
A new class of memristor-based time-delay fractional-order hybrid BAM neural networks has been put forward. The contraction mapping principle has been adopted to verify the existence and uniqueness of the equilibrium point of the addressed neural networks. By virtue of fractional Halanay inequality and fractional comparison principle, not only the dissipativity has been analyzed, but also a globally attractive set of the new model has been formulated clearly. Numerical simulation is presented to illustrate the feasibility and validity of our theoretical results.
Acknowledgements
The authors would like to appreciate the editor and the anonymous reviewers for their valuable comments and insightful advice, which has helped improve the quality of this paper. This study was supported by National Natural Science Foundation of China (Grant Nos. 61374028 and 61304162).
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