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Exponential Synchronization of Memristive Neural Networks with Discrete and Distributed Time-Varying Delays via Event-Triggered Control

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  • Biwen Li
  • Wenbo Zhou
  • Shiping Wen

Abstract

In this paper, we investigate the exponential synchronization problem of memristive neural networks (MNNs) with discrete and distributed time-varying delays under event-triggered control. An event-triggered controller with the static and dynamic event-triggering conditions is designed to improve the efficiency of resource utilization. By constructing a new Lyapunov function, some sufficient criteria are obtained to realize the exponential synchronization of considered drive-response MNNs under the designed event-triggered controller. In addition, the Zeno behavior will not occur by proving that the event-triggering interval has a positive lower bound under different event-triggering conditions. Finally, a numerical example is provided to prove the validity of our theoretical results.

Suggested Citation

  • Biwen Li & Wenbo Zhou & Shiping Wen, 2021. "Exponential Synchronization of Memristive Neural Networks with Discrete and Distributed Time-Varying Delays via Event-Triggered Control," Discrete Dynamics in Nature and Society, Hindawi, vol. 2021, pages 1-15, April.
    • Handle: RePEc:hin:jnddns:5575849
    DOI: 10.1155/2021/5575849
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