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.
作者
韩静
章枝
张学锋
周建平
Jing Han;Zhi Zhang;Xuefeng Zhang;Jianping Zhou(School of Computer Science&Technology,Anhui University of Technology,Ma’anshan 243032,China;Research Institute of Information Technology,Anhui University of Technology,Ma’anshan 243000,China)
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).
