Regional sampled-data synchronization of chaotic neural networks using piecewise-continuous delay dependent Lyapunov functional

作者：

Highlights：

• An improved synchronization criterion for CNNs with input saturation is proposed by using the polynomial piecewise-continuous delay dependent Lyapunov functional.

• A clock-dependent Lyapunov functional approach incorporated with looped functionals is firstly proposed in this paper, where the information of inter sampling behavior is fully utilized in the construction of a Lyapunov functional.

• The proposed method provides a wider range of saturation attraction compared with the loopedfunctional approach.

摘要

•An improved synchronization criterion for CNNs with input saturation is proposed by using the polynomial piecewise-continuous delay dependent Lyapunov functional.•A clock-dependent Lyapunov functional approach incorporated with looped functionals is firstly proposed in this paper, where the information of inter sampling behavior is fully utilized in the construction of a Lyapunov functional.•The proposed method provides a wider range of saturation attraction compared with the loopedfunctional approach.

论文关键词：Chaotic neural networks,Synchronization,Piecewise-continuous delay dependent Lyapunov functional,Sum of squares

论文评审过程：Received 20 August 2021, Revised 4 December 2021, Accepted 28 January 2022, Available online 12 February 2022, Version of Record 12 February 2022.

论文官网地址：https://doi.org/10.1016/j.amc.2022.126994