朱全新 - 湖南师范大学 - 数学与统计学院

个人简介

朱全新(Quanxin Zhu)，博士，湖南师范大学潇湘学者教授，博士生导师，德国洪堡基金高访学者，IEEE高级会员， “计算与随机数学”教育部重点实验室副主任。主要从事马氏过程、随机系统的稳定与控制理论及应用研究工作，取得了系列重要进展，解决了SIAM J. Control Optim.等国际权威刊物上提出的多个公开问题

研究领域

(1)马氏过程、随机系统的稳定与控制研究；(2)随机复杂网络理论及其应用；(3)随机控制理论及其应用；(4)随机系统理论在经济、金融中的应用

近期论文

查看导师最新文章（温馨提示：请注意重名现象，建议点开原文通过作者单位确认）

Zhu,Quanxin;Wang,HuiOutput feedback stabilization of stochastic feedforwardsystems with unknown control coefficients and unknown output function.Automatica87(2018),166–175. Zhu,QuanxinStability analysis of stochastic delay differentialequations with Lévy noise，Systems & Control Letters, 118(2018)62-68. Wang Bao,ZhuQuanxin,Stabilityanalysis of semi-Markov switched stochastic systems, Automatica94(2018),72–80. Wang,Hui;Zhu,Quanxin, Finite-time stabilization of high-order stochasticnonlinear systems in strict-feedback form, Automatica54(2015),284–291. Wang,Hui;Zhu,Quanxin,Global Stabilizationof Stochastic Nonlinear Systems via C1 and C∞ Controllers,IEEETransactions on Automatic Control,62(11)(2017)5880-5887. Zhu,Quanxin, Razumikhin-type theorem for stochastic functional differentialequations with Lévy noise and Markov switching, International Journal ofControl,90(8)(2017)1703-1712. Wang Bao,ZhuQuanxin,Stability analysis of Markov switched stochastic differentialequations with both stable andunstablesubsystems,Systems& Control Letters,105(2017), 55–61. Song Ruili,ZhuQuanxin,Stabilityof linear stochastic delay differential equations with infinite MarkovianswitchingsInternational Journal of Robust and Nonlinear Control 28(3)2018,825–837. Hu Wei,ZhuQuanxin,Momentexponential stability of stochastic nonlinear delay systems with impulseeffects at random times,International Journal of Robust andNonlinear Control online : 15 JAN 2018, DOI: 10.1002/rnc.4031 Zhu,Quanxin,SongShiyun,TangTianren,Meansquare exponential stability of stochastic nonlinear delay systems，International Journal of Control,90(11)(2017)2384-2393. ZhuQuanxin,ZhangQiuyan,pth moment exponentialstabilisation of hybrid stochastic differential equations by feedback controlsbased on discrete-time state observations with a time delay,IETControl Theory & Applications 11(12) (2017)1992 – 2003. Zhu,Quanxin;Cao,Jinde;Rakkiyappan,R.Exponential input-to-state stability of stochasticCohen-Grossberg neural networks with mixed delays.NonlinearDynam.79(2015),no.2,1085–1098. Zhu,Quanxinpth moment exponential stability of impulsive stochasticfunctional differential equations with Markovian switching.J.Franklin Inst.351(2014),no.7,3965–3986. Zhu,Quanxin;Cao,Jinde, Stability analysis of Markovian jump stochastic BAM neuralnetworks with impulse control and mixed time delays. IEEE Transactions on NeuralNetworks and Learning Systems, 23(3), (2012) 467-479. Zhu,Quanxin;Cao,Jinde,Exponential stabilityof stochastic neural networks with both Markovian jump parameters and mixed timedelays,IEEETransactions on Systems, Man, and Cybernetics, Part B (Cybernetics),41(2) ),(2011)341 – 353. Zhu,Quanxin;Cao,Jinde, Robust exponential stability of Markovian jump impulsive stochasticCohen-Grossberg neural networks with mixed time delays. IEEE Transactions onNeural Networks, 21(8), (2010) 1314-1325. Liu,Linna;Zhu,QuanxinMean square stability of two classes of theta method forneutral stochastic differential delay equations.J.Comput. Appl. Math.305(2016),55–67. Xiong,Shuangshuang;Zhu,QuanxinDecentralized risk-sensitive design for large-scale stochasticinterconnected systems with time-varying delays.J.Franklin Inst.353(2016),no.7,1527–1552. Yang,Xuetao;Zhu,QuanxinExistence, uniqueness, and stability of stochastic neutralfunctional differential equations of Sobolev-type.J.Math. Phys.56(2015),no.12,122701, 16 pp. Liu,Linna;Zhu,QuanxinAlmost sure exponential stability of numerical solutionsto stochastic delay Hopfield neural networks.Appl.Math. Comput.266(2015),698–712.