Algebra criteria for global exponential stability of multiple time-varying delay Cohen–Grossberg neural networks

作者：

Highlights：

• The proposed method is applicable to Cohen-Grossberg neural networks that can or can not be written as the vector-matrix form.

• The second and third terms in the Lyapunov-Krasovskii functionals are introduced for the first time.

• The algebraic criteria are given for the first time.

摘要

•The proposed method is applicable to Cohen-Grossberg neural networks that can or can not be written as the vector-matrix form.•The second and third terms in the Lyapunov-Krasovskii functionals are introduced for the first time.•The algebraic criteria are given for the first time.

论文关键词：Global exponential stability,Algebra Criteria,Cohen–Grossberg neural networks,Multiple time-varying delays,Lyapunov–Krasovskii functionals

论文评审过程：Received 12 May 2022, Revised 27 July 2022, Accepted 31 July 2022, Available online 17 August 2022, Version of Record 17 August 2022.

论文官网地址：https://doi.org/10.1016/j.amc.2022.127461