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SCIENCE CHINA Information Sciences, Volume 63 , Issue 5 : 150206(2020) https://doi.org/10.1007/s11432-019-2694-y

Event-triggered hybrid impulsive control for synchronization of memristive neural networks

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  • ReceivedJun 15, 2019
  • AcceptedSep 16, 2019
  • PublishedMar 27, 2020

Abstract

This paper is concerned with the complete synchronization of memristive neural networks (MNNs) with time-varying delays. An event-triggered hybrid state feedback and impulsive controller is designed to save the limited system communication resources, and parameter mismatch is considered in the control design process. Based on the Lyapunov functional approach and the comparison principle for impulsive systems, a sufficient synchronization criterion is developed to derive the master MNN and response MNN. Additionally, under the event-triggered mechanism there exists a positive lower bound for inter-execution time, which implies the avoidance of Zeno behavior. Finally, a numerical example is provided to demonstrate the effectiveness of the proposed synchronization design methods.


Acknowledgment

This work was supported by National Natural Science Foundation of China (Grant No. 61973166) and Fundamental Research Funds for the Central Universities (Grant No. 30919011409).


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