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

作     者：Jing Han Zhi Zhang Xuefeng Zhang Jianping Zhou 韩静;章枝;张学锋;周建平

作者机构：School of Computer Science&TechnologyAnhui University of TechnologyMa’anshan 243032China Research Institute of Information TechnologyAnhui University of TechnologyMa’anshan 243000China 

基　　金：Project supported by the Excellent Youth Talent Support Program of Universities in Anhui Province,China(Grant No.GXYQZD2019021) the Major Research Project of Anhui Provincial Department of Education,China(Grant No.KJ2017ZD05) the National Natural Science Foundation of China(Grant Nos.61503002 and 61973199) 

出 版 物：《Chinese Physics B》 (中国物理B（英文版）)

年 卷 期：2020年第29卷第11期

页      码：156-163页

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 *** on the criterion,a design approach for desired passive filters is developed in terms of the feasible solution of a set of linear matrix ***,analyses and syntheses are extended to the time-variant delay situation using the reciprocally convex combination ***,a numerical example with simulations is used to illustrate the applicability and reduced conservatism of the present passive filter design approaches.

主 题 词：neural networks time delay quantization filtering 

学科分类：12[管理学] 1201[管理学-管理科学与工程类] 080902[080902] 0809[工学-计算机类] 081104[081104] 08[工学] 0835[0835] 0811[工学-水利类] 0812[工学-测绘类] 

核心收录：

D　O　I：10.1088/1674-1056/aba602

馆 藏 号：203987115...