王虎

副教授 硕士生导师

Email：wanghu1985712@163.com

研究方向

1. 经济增长与经济预测

2. 分数阶金融系统研究与应用

3.系统生物动力学

教育背景

2012年9月-2015年7月 北京交通大学应用数学专业博士研究生，获理学博士学位

2009年9月-2012年7月 北京交通大学运筹学与控制论专业硕士研究生，获理学硕士学位

2005年9月-2009年7月 内蒙古大学数理学基地专业本科学生，获理学学士学位

工作经历

2015年7月至今 中央财经大学统计与数学学院

研究生（本科生）科研指导

1. 研究兴趣：

I）经济增长与经济预测：基于数据驱动的经济增长模型建立与经济预测，其次基于模型

驱动的经济增长与经济预测，理论基础：宏观经济学，微观经济学，经济增长导论。

II）分数阶金融系统研究与应用：基于分数阶金融模型，研究其动力学性质与控制，理论基础：常微分方程。

2．对经济增长与预测的感兴趣的本科生，即对科研感兴趣，在已有的课程中学有余力，在本科后半程已确定保研和即将在研究生阶段在学术方面有所建树的。

3．对分数阶微积分理论及应用感兴趣的同学。

主要著作

1.于永光，王虎，张硕，谷雅娟，《分数阶神经网络的定性分析与控制》，科学出版社，2021

学术论文

1.Hu Wang, Yongguang Yu, Ran Zhao, Sha Wang, Two-parameter bifurcation in a two-dimensional simplified Hodgkin-Huxley model.Communications inNonlinear Science and Numerical Simulation,2013, 18:184-193.

2.Hu Wang, Yongguang Yu, Guoguang Wen, Stability analysis of fractional-order Hopfield neural networks with time delays.Neural Networks, 2014, 55: 98-109.

3.Hu Wang, Yongguang Yu,Sha Wang, Junzhi Yu, Bifurcation analysis of a two-dimensional simplified Hodgkin-Huxley model exposed to external electric fields.Neural Computing and Applications, 2014, 24:37-44.

4.Hu Wang, Yongguang Yu, Guoguang Wen, Shuo Zhang, Stability analysis of fractional-order neural networks with time delay.Neural Processing Letters, 2015, 42(2): 479-500

5.Hu Wang, Yongguang Yu, Guoguang Wen, Shuo Zhang, Global stability analysis of fractional-order Hopfield neural networks with time delay,Neurocomputing,2015, 154: 15-23.

6.Hu Wang, Yongguang Yu, Guoguang Wen, Dynamical Analysis of the Lorenz-84 atmosphere circulation model,Journal of Applied Mathematics, 2015

7. Hu Wang, Yajuan Gu, Yongguang Yu, Numerical solution of fractional-order time-varying delayed differential systems using Lagrange interpolation.Nonlinear Dynamics, 2019, 95(1): 809-822.

8.王虎，田晶磊，孙玉琴，于永光，具有阶段结构的时滞分数阶捕食者-食饵系统的稳定性分析，应用数学学报，2018，41(1): 26-42.

9. Ziyi Lin,Hu Wang,Modeling and application of fractional-order economic growth model with time delay,Fractal and Fractional,2021, 5, 74

10.Yajuan Gu,Hu Wang,Yongguang Yu, Stability and synchronization of fractional-order generalized reaction–diffusion neural networks with multiple time delays and parameter mismatch，Neural Computing and Applications,2022,https://doi.org/10.1007/s00521-022-07414

11. Yajuan Gu,Hu Wang, Yongguang Yu, Synchronization for fractional-order discrete-time neural networks with time delays.Applied Mathematics and Computation, 2020,372 : 124995.

12.Yajuan Gu,Hu Wang, Yongguang Yu, Synchronization for commensurate Riemann-Liouville fractional-order memristor-based neural networks with unknown.Journal of the Franklin Institute, 2020, 357(13):8870-8898.

13.Yajuan Gu,Hu Wang, Yongguang Yu, Stability and synchronization for Riemann-Liouville fractional-order time-delayed inertial neural networks.Neurocomputing, 2019, 340:270–280.

14.Yajuan Gu,Hu Wang, Yongguang Yu, Synchronization for incommensurate Riemann-Liouville fractional-order time-delayed competitive neural networks with different time scales and known or unknown parameters.Journal of Computational and Nonlinear Dynamics,2019, 14(5):051002-9.

15.Sha Wang, Yongguang Yu,Hu Wang, Ahmed Rahmani, Function projective lag synchronization of fractional order chaotic systems.Chinese Physics B, 2014, 23:040502.

16.Shuo Zhang, Yongguang Yu,Hu Wang,Mittag-Leffler stability of fractional-order Hopfield neural networks.Nonlinear Analysis: Hybrid Systems, 2015, 16: 104-121.

17.Yajuan Gu, Yongguang Yu,Hu Wang, Projective synchronization for fractional-order memristor-based neural networks with time delays.Neural Computing and Applications,2019, 31:6039–6054.

18.Yajuan Gu, Yongguang Yu,Hu Wang, Synchronization for fractional-order time-delayed memristor-based neural networks with parameter uncertainty.Journal of the Franklin Institute,2016, 353: 3657–3684.

19.Yajuan Gu, Yongguang Yu,Hu Wang, Synchronization-based parameter estimation of fractional-order neural networks.Physica A, 2017, 483: 351–361.

20.Guoguang Wen, Yongguang Yu, Zhaoxia Peng,Hu Wang(王虎), Dynamical group consensus of heterogenous multi-agent systems with input time delays.Neurocomputing, 2016,175 :278–286.

21. Xueli Cui, Yongguang Yu,Hu Wang(王虎), Wei Hu, Dynamical analysis of memristor-based fractional-order neural networks with time delay.Modern Physics Letters B, 2016, 30, (18) :1650271.

科研课题

1.时变时滞的变分数阶神经网络的稳定性分析与控制,国家自然科学基金青年科学基金：主持，在研.

2.分数阶金融模型的动力学分析,校基本科研业务经费,主持,完成.

3. 分数阶随机系统的非线性动力学行为与控制研究,国家自然科学基金，参加，完成.

所授课程

1. 数学分析(本科生)

2. 高等数学(本科生)

3. 运筹学(本科生)