教授

性别 民族
出生年月 1964.2 职称 教授
职务 导师资格 博导,硕导
电话 联系地址 宁远楼209
E-mail zhangqimin64@sian.com 姓 名
教育经历 (1) 2002-02至2004-06, 西安交通大学, 应用数学 ,博士;<br>

(2) 1992-09至1995-06, 四川大学, 应用数学, 硕士;<br>

(3) 1982-09至1986-07, 宁夏大学, 数学, 学士。
工作经历 1986.7-1997.7 宁夏教育学院数学系 教学<br>
1997.7-至今   宁夏大学数学系     教学
研究方向 生物数学与计算数学 承担项目 1. 国家自然基金委员会,地区项目,11661064,基于噪声影响的生物修复系统渐近行 为及数值计算方法研究,2017-01至2020-12, 40万元,已结题,主持<br>

 2. 国家自然基金委员会,地区项目,11461053,基于特征投影分解的随机种群发展系 统数值计算方法研究,2015-01至2018-12, 38万元,已结题,参与<br>

3. 国家自然基金委员会,地区项目,11261043,基于随机噪声影响的种群系统最优控 制理论与数值算法研究,2015-01至2018-12, 50万元,已结题,主持<br>

4. 国家自然基金委员会,地区项目,11061024,随机非线性种群发展系统数值解研究 ,2011-01至2013-12,28万元,已结题,主持<br>
科研成果 [1] Jie Ren, Qimin Zhang*, Feilong Cao, Chunmei Ding, Li Wang. Modeling a stochastic age-structured capital system with Poisson jumps using neural networks, Information Sciences, 2020,516:254-265.<br>

[2] Ting Kang, Qimin Zhang*, Haiyan Wang. Optimal control of an avian influenza model with multiple time delays in state and control variables, Discrete and Continuous Dynamical SystemsSeriesB,2020,DOI:10.3934/dcdsb.2020278.<br>

[3] XiaojieMu, QiminZhang*. Near-optimal control forastochastic multi-strain epidemic model with age structure and Markovian switching, International Journal of Control, 2020, DOI:10.108 0/00207179.2020.1843074.<br>

[4] Xiaojie Mu, Qimin Zhang*, Libin Rong. Optimal vaccination strategy for an SIRS model with imprecise parameters and Lévy noise, Journal of the Franklin Institute, 2019, 356: 11385-11413. [5] Kangbo Bao, Libin Rong, Qimin Zhang*. Analysis of stochastic SIRS model with interval parameters,Discrete andContinuousDynamical Systems-Series B,2019,24:4827-4849.<br>

[6] Wenjuan Guo, Qimin Zhang*, Libin Rong. A stochastic epidemic model with nonmonotone incidencerate: Sufficient andnecessaryconditions fornear-optimality,Information Sciences,2018, 467:670-684.<br>

[7] Wenrui Li, Ming Ye, Qimin Zhang*, Yan Li. Numerical approximation of a stochastic age-structured population model in a polluted environment with Markovian switching, Numerical MethodsForPartial DifferentialEquations,2020,36(6):1460-1491.<br>

[8] Yanyan Du, Qimin Zhang*, Anke Meyer-Baese. The positive numerical solution for stochastic age-dependent capital system based on explicit-implicit algorithm, Applied Numerical Mathematics,2021,DOI:10.1016/j.apnum.2021.02.015.<br>

[9]Wenjuan Guo, Qimin Zhang*. Explicit numerical approximation for an impulsive stochastic age-structured HIV infection model with Markovian switching, Mathematics and Computers in Simulation,2021,182:86-115.<br>

[10] Wenjuan Guo, Qimin Zhang*, MingYe. Convergence and asymptotic stability of an explicit numerical method for non-autonomous stochastic differential equations, Journal of Difference EquationsandApplications,2020,26(11-12):1538-1563.<br>

[11] Mengqing Zhang, Qimin Zhang*. A positivity preserving numerical method for stochastic R&Dmodel,AppliedMathematics andComputation,2019,351:193-203.<br>

[12] Xiaojie Mu, Qimin Zhang*, Libin Rong. Near-optimal control for a stochastic SIRS model withimpreciseparameters,AsianJournalofControl,2020,22(5):2090-2105.
<br>
[13] Shiliang Pan, Qimin Zhang*, Anke Meyer-Baese. Near-optimal control of a stochastic vegetation-water system with reaction diffusion, Mathematical Methods in the Applied Sciences 2020,43(9):6043-6061.<br>

[14] Zixiao Xiong, Qimin Zhang, Ting Kang∗. Bifurcation and stability analysis of a cross-diffusion vegetation-water model with mixed delays, Mathematical Methods in the Applied Sciences,2021,DOI:10.1002/mma.7384.<br>

[15] Wenrui Li, Qimin Zhang*, Anke Meyer-Baese. Taylor approximation of the solution of age-dependent stochastic delay population equations with Ornstein-Uhlenbeck process and Poissonjumps,Mathematical BiosciencesandEngineering, 2020,17(3):2650-2675.<br>
[16] Yan Li, Qimin Zhang*. The balanced implicit method of preserving positivity for the stochasticSIQSepidemic model,PhysicaA,2020,538:122972.<br>

[17] Shiliang Pan, Qimin Zhang*,Anke Meyer-Baese. Dynamic analysis of a soil organic matter andplantsystemwithreaction-diffusion,Chaos,SolitonsandFractals, 接受.<br>

[18] Qiang Li, Qimin Zhang*, Boqiang Cao. Mean-square stability of stochastic age-dependent delay population systems with jumps,Acta MathematicaeApplicatae Sinica, English Series, 2018, 34(1):145-154.<br>

[19] Qimin Zhang, Xinjing Zhang, Hongfu Yang. Global dissipativity of stochastic LotkaVolterra system with feedback controls, International Journal of Biomathematics, 2017, 10(2): 1750022.<br>

[20] Qimin Zhang, Yating Liu, Xining Li. Strong convergence of split-step backward Euler method for stochastic age-dependent capital system with Markovian switching, Applied MathematicsandComputation,2014,235:439-453.<br>

出版的专著:

[1] 张启敏, 杨洪福, 李西宁. 几类生物数学模型的理论与数值方法, 科学出版社, 2018 年, 497 万字.<br>

[2] 张启敏, 李西宁, 岳红格. StochasticAge-structuredPopulationSystems, 科学出版社,2013 年,230 万字.<br>
学术任职
其它 职 责

基本信息

  • 姓名:张启敏性别:女
  • 出生年月:1964.2职称/职务:教授
  • 导师资格:博导,硕导电话:
  • 联系地址:宁远楼209E-mail:zhangqimin64@sian.com
(1) 2002-02至2004-06, 西安交通大学, 应用数学 ,博士;
(2) 1992-09至1995-06, 四川大学, 应用数学, 硕士;
(3) 1982-09至1986-07, 宁夏大学, 数学, 学士。
1986.7-1997.7 宁夏教育学院数学系 教学
1997.7-至今 宁夏大学数学系 教学
生物数学与计算数学
1. 国家自然基金委员会,地区项目,11661064,基于噪声影响的生物修复系统渐近行 为及数值计算方法研究,2017-01至2020-12, 40万元,已结题,主持
2. 国家自然基金委员会,地区项目,11461053,基于特征投影分解的随机种群发展系 统数值计算方法研究,2015-01至2018-12, 38万元,已结题,参与
3. 国家自然基金委员会,地区项目,11261043,基于随机噪声影响的种群系统最优控 制理论与数值算法研究,2015-01至2018-12, 50万元,已结题,主持
4. 国家自然基金委员会,地区项目,11061024,随机非线性种群发展系统数值解研究 ,2011-01至2013-12,28万元,已结题,主持
[1] Jie Ren, Qimin Zhang*, Feilong Cao, Chunmei Ding, Li Wang. Modeling a stochastic age-structured capital system with Poisson jumps using neural networks, Information Sciences, 2020,516:254-265.
[2] Ting Kang, Qimin Zhang*, Haiyan Wang. Optimal control of an avian influenza model with multiple time delays in state and control variables, Discrete and Continuous Dynamical SystemsSeriesB,2020,DOI:10.3934/dcdsb.2020278.
[3] XiaojieMu, QiminZhang*. Near-optimal control forastochastic multi-strain epidemic model with age structure and Markovian switching, International Journal of Control, 2020, DOI:10.108 0/00207179.2020.1843074.
[4] Xiaojie Mu, Qimin Zhang*, Libin Rong. Optimal vaccination strategy for an SIRS model with imprecise parameters and Lévy noise, Journal of the Franklin Institute, 2019, 356: 11385-11413. [5] Kangbo Bao, Libin Rong, Qimin Zhang*. Analysis of stochastic SIRS model with interval parameters,Discrete andContinuousDynamical Systems-Series B,2019,24:4827-4849.
[6] Wenjuan Guo, Qimin Zhang*, Libin Rong. A stochastic epidemic model with nonmonotone incidencerate: Sufficient andnecessaryconditions fornear-optimality,Information Sciences,2018, 467:670-684.
[7] Wenrui Li, Ming Ye, Qimin Zhang*, Yan Li. Numerical approximation of a stochastic age-structured population model in a polluted environment with Markovian switching, Numerical MethodsForPartial DifferentialEquations,2020,36(6):1460-1491.
[8] Yanyan Du, Qimin Zhang*, Anke Meyer-Baese. The positive numerical solution for stochastic age-dependent capital system based on explicit-implicit algorithm, Applied Numerical Mathematics,2021,DOI:10.1016/j.apnum.2021.02.015.
[9]Wenjuan Guo, Qimin Zhang*. Explicit numerical approximation for an impulsive stochastic age-structured HIV infection model with Markovian switching, Mathematics and Computers in Simulation,2021,182:86-115.
[10] Wenjuan Guo, Qimin Zhang*, MingYe. Convergence and asymptotic stability of an explicit numerical method for non-autonomous stochastic differential equations, Journal of Difference EquationsandApplications,2020,26(11-12):1538-1563.
[11] Mengqing Zhang, Qimin Zhang*. A positivity preserving numerical method for stochastic R&Dmodel,AppliedMathematics andComputation,2019,351:193-203.
[12] Xiaojie Mu, Qimin Zhang*, Libin Rong. Near-optimal control for a stochastic SIRS model withimpreciseparameters,AsianJournalofControl,2020,22(5):2090-2105.
[13] Shiliang Pan, Qimin Zhang*, Anke Meyer-Baese. Near-optimal control of a stochastic vegetation-water system with reaction diffusion, Mathematical Methods in the Applied Sciences 2020,43(9):6043-6061.
[14] Zixiao Xiong, Qimin Zhang, Ting Kang∗. Bifurcation and stability analysis of a cross-diffusion vegetation-water model with mixed delays, Mathematical Methods in the Applied Sciences,2021,DOI:10.1002/mma.7384.
[15] Wenrui Li, Qimin Zhang*, Anke Meyer-Baese. Taylor approximation of the solution of age-dependent stochastic delay population equations with Ornstein-Uhlenbeck process and Poissonjumps,Mathematical BiosciencesandEngineering, 2020,17(3):2650-2675.
[16] Yan Li, Qimin Zhang*. The balanced implicit method of preserving positivity for the stochasticSIQSepidemic model,PhysicaA,2020,538:122972.
[17] Shiliang Pan, Qimin Zhang*,Anke Meyer-Baese. Dynamic analysis of a soil organic matter andplantsystemwithreaction-diffusion,Chaos,SolitonsandFractals, 接受.
[18] Qiang Li, Qimin Zhang*, Boqiang Cao. Mean-square stability of stochastic age-dependent delay population systems with jumps,Acta MathematicaeApplicatae Sinica, English Series, 2018, 34(1):145-154.
[19] Qimin Zhang, Xinjing Zhang, Hongfu Yang. Global dissipativity of stochastic LotkaVolterra system with feedback controls, International Journal of Biomathematics, 2017, 10(2): 1750022.
[20] Qimin Zhang, Yating Liu, Xining Li. Strong convergence of split-step backward Euler method for stochastic age-dependent capital system with Markovian switching, Applied MathematicsandComputation,2014,235:439-453.
出版的专著: [1] 张启敏, 杨洪福, 李西宁. 几类生物数学模型的理论与数值方法, 科学出版社, 2018 年, 497 万字.
[2] 张启敏, 李西宁, 岳红格. StochasticAge-structuredPopulationSystems, 科学出版社,2013 年,230 万字.