Finite-time Passive Analysis and Passification for Nonlinear Neutral Stochastic Systems with Uncertainties and Time-varying Delays

被引：0

作者：

Yu, Shengchun ^{[2
]}

Jin, Jiangshan ^{[2
]}

Chen, Guici ^{[1
,2
]}

机构：

[1] Wuhan Univ Sci & Technol, Hubei Prov Key Lab Syst Sci Met Proc, Wuhan 430065, Peoples R China

[2] Wuhan Univ Sci & Technol, Coll Sci, Wuhan 430065, Peoples R China

来源：

2020 3RD INTERNATIONAL CONFERENCE ON COMPUTER INFORMATION SCIENCE AND APPLICATION TECHNOLOGY (CISAT) 2020 | 2020年 / 1634卷

关键词：

DEPENDENT STABILITY-CRITERIA; NEURAL-NETWORKS; LURE SYSTEM; STABILIZATION;

D O I：

10.1088/1742-6596/1634/1/012082

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

The finite-time passive analysis and passification problems of neutral stochastic systems (NNSSs) with nonlinear uncertainties and time-varying delays are investigated in this paper. To guarantee the finite-time passification of NNSSs with nonlinear uncertainties and time-varying delays, a state feedback controller is designed respectively, which are delay independent and delay dependent, respectively. By constructing proper Lyapunov-Krasovskii functionals, several sufficient conditions are obtained in terms of linear matrix inequalities (LMIs), in which the free-weighting matrix and sector conditions are involved. Finally, a numerical example with simulations is given to demonstrate the correctness of the derived results and the effectiveness of the proposed methods.

引用

页数：9

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