Mean-square asymptotical synchronization control and robust analysis of discrete-time neural networks with time-varying delay

Automatika

Yang Zhu¹  Jian-ning Li²  Jian-ping Cai³  Jun Wu⁴  De-hui Lin⁴ 

[1] Nanyang Technological University;School of Automation,Hangzhou Dianzi University;Zhejiang University of Water Resources and Electric Power;Zhejiang University;

关键词: Asymptotical synchronization control;    discrete-time neural networks;    time-varying delay;    controller nonlinearity;    uncertainty;   

DOI  :  10.1080/00051144.2018.1552651

来源: DOAJ

【 摘 要 】

This paper investigates the controller design problem for mean-square asymptotical synchronization of discrete-time neural networks with time-varying delay. We proposed the design method of synchronization controller, which considered the nonlinearity of controller input. Based on the designed controller, a delay-dependent synchronization criterion is proposed and formulated in the form of linear matrix inequalities (LMIs) by applying the Lyapunov function method. The result is extended to the delayed discrete-time neural network with uncertainty. Two numerical examples are presented to illustrate the effectiveness of the proposed method.

【 授权许可】

Unknown