Novel robust stability criteria for uncertain parameter quaternionic neural networks with mixed delays: Whole quaternionic method
作者：
Highlights：
• Quaternion, mixed delays, and uncertain parameters are considered simultaneously.
• Derivative formula of the quaternionic function norm is presented.
• Whole quaternionic method is used for studying the stability of quaternionic neural networks.
• Robust stability criteria of quaternionic neural networks are formulated in the form of M-matrix.
摘要
•Quaternion, mixed delays, and uncertain parameters are considered simultaneously.•Derivative formula of the quaternionic function norm is presented.•Whole quaternionic method is used for studying the stability of quaternionic neural networks.•Robust stability criteria of quaternionic neural networks are formulated in the form of M-matrix.
论文关键词：Quaternionic neural networks,Global robust exponential stability,Uncertain parameter,Mixed delay,M-Matrix
论文评审过程：Received 29 October 2020, Revised 28 February 2021, Accepted 22 April 2021, Available online 10 May 2021, Version of Record 10 May 2021.
论文官网地址：https://doi.org/10.1016/j.amc.2021.126326
