Neural Networks2022,Vol.14512.DOI:10.1016/j.neunet.2021.10.025

Event-based master–slave synchronization of complex-valued neural networks via pinning impulsive control

Shen Y. Liu X.
Neural Networks2022,Vol.14512.DOI:10.1016/j.neunet.2021.10.025

Event-based master–slave synchronization of complex-valued neural networks via pinning impulsive control

Shen Y. 1Liu X.1
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作者信息

  • 1. Department of Applied Mathematics University of Waterloo
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Abstract

? 2021 Elsevier LtdThis paper investigates the synchronization problem of complex-valued neural networks via event-triggered pinning impulsive control (ETPIC). A time-delayed pinning impulsive controller is proposed based on three levels of event-triggered conditions. By employing the Lyapunov functional method and differential inequality technique, sufficient delay-dependent synchronization criteria are derived under the proposed ETPIC scheme. The obtained result shows that synchronization of master and slave complex-valued neural networks can be achieved even if the sizes of delays exceed the length of intervals between any two consecutive impulsive instants determined by Lyapunov-based event-triggered conditions in the proposed control strategy. Moreover, the linear matrix inequality approach is utilized to exclude Zeno behavior. Numerical examples are provided to illustrate the effectiveness of the theoretical results.

Key words

Complex-valued neural networks/Event-triggered/Pinning impulsive control/Synchronization/Time delays

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出版年

2022
Neural Networks

Neural Networks

EISCI
ISSN:0893-6080
被引量22
参考文献量48
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