A direct analysis method to Lagrangian global exponential stability for quaternion memristive neural networks with mixed delays

作者：

Highlights：

• Compared with the usual methods, the direct analysis method proposed in the paper can not only derive simple solvable conditions, but also need not construct any LKF.

• The proposed method is applicable to both RMNNs and CMNNs.

• No model transformation is involved, which reduces the derivation process.

摘要

•Compared with the usual methods, the direct analysis method proposed in the paper can not only derive simple solvable conditions, but also need not construct any LKF.•The proposed method is applicable to both RMNNs and CMNNs.•No model transformation is involved, which reduces the derivation process.

论文关键词：Quaternion memristive neural networks,Leakage delays,Global exponential stability in Lagrange sense,Unbounded distributed delays

论文评审过程：Received 1 April 2022, Revised 26 August 2022, Accepted 10 October 2022, Available online 22 October 2022, Version of Record 22 October 2022.

论文官网地址：https://doi.org/10.1016/j.amc.2022.127633