Design of passive filters for time-delay neural networks with quantized output

• 来源期刊: 中国物理B（英文版）
• 年，卷（期）: 2020,（11）
• 所属期刊栏目: GENERAL
• 页码范围: 156-163
• 页数: 8页
• 语种: 英文
• DOI: 10.1088/1674-1056/aba602

摘要

Passive filtering of neural networks with time-invariant delay and quantized output is considered.A criterion on the passivity of a filtering error system is proposed by means of the Lyapunov-Krasovskii functional and the Bessel-Legendre inequality.Based on the criterion,a design approach for desired passive filters is developed in terms of the feasible solution of a set of linear matrix inequalities.Then,analyses and syntheses are extended to the time-variant delay situation using the reciprocally convex combination inequality.Finally,a numerical example with simulations is used to illustrate the applicability and reduced conservatism of the present passive filter design approaches.