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Anti-synchronization of a Class Of Fuzzy Memristive Competitive Neural Networks with Different Time Scales

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Abstract

In this paper, we investigate a class of fuzzy memristive competitive neural networks with different time scales. Based on Lyapunov functional and differential inclusions, two proper controllers are designed to achieve the anti-synchronization of systems. Some novel results have been obtained for anti-synchronization. Finally, an example is given to illustrate the effectiveness of our main results.

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Acknowledgements

This work was supported by the National Natural Science Foundation of China [Nos. 11972115, 11502073, 11931016, 11671176 and 11871251], Natural Science Foundation of Zhejiang Province under Grant [No. LY20A010016] and also partially supported by Scientific Research Fund of Henan Provincial Education Department [No. 14A110004].

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Correspondence to Yong Zhao.

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Ren, S., Zhao, Y. & Xia, Y. Anti-synchronization of a Class Of Fuzzy Memristive Competitive Neural Networks with Different Time Scales. Neural Process Lett 52, 647–661 (2020). https://doi.org/10.1007/s11063-020-10269-w

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