Journal
NEURAL NETWORKS
Volume 141, Issue -, Pages 98-106Publisher
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.neunet.2021.01.013
Keywords
Coupled memristive neural networks; Intermittent event-triggered control; Exponential synchronization; Quasi-synchronization
Funding
- National Natural Science Foundation of China [61976085, U1913602, 61936004, 61821003]
- Technology Innovation Project of Hubei Province of China [2019AEA171]
- 111 Project on Computational Intelligence and Control [B18024]
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This paper introduces a new intermittent event-triggered control method (IETC), and discusses the quasi-synchronization problem of coupled memristive neural networks with time-varying delays, establishing criteria for both synchronization and quasi-synchronization.
Firstly, an intermittent event-triggered control (IETC), as a combination of intermittent control and event-triggered control, is proposed. Then, the quasi-synchronization problem of coupled memristive neural networks with time-varying delays (CDMNN) is discussed under this IETC. To include more of the existing work, aperiodic intermittent control and event-triggered control with combined measurement errors are adopted in the IETC. Under the IETC, it is shown that Zeno behavior cannot be exhibited for CDMNN. At the same time, two new differential inequalities are established, and some simple and practical criteria for CDMNN quasi-synchronization and synchronization are obtained by using these inequalities. In the obtained results, synchronization is a spatial case of quasi-synchronization, and the activation functions of DMNN do not need to be bounded. Finally, a numerical example and some simulations are provided to test the results in theoretical analysis. (C) 2021 Published by Elsevier Ltd.
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