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张海
发布时间:2024-09-27 发布者:必赢线路检测3003no1; 浏览次数:

姓 名

张海

性 别

出生年月

1977年1月

学 位

博士

职 称

教授

岗 位

必赢线路检测3003no1院长

联系方式

zhanghai0121@163.com;0556-5303006


张 海, 男 , 汉族, 1977年1月出生, 安徽桐城人, 中共党员 , 博士, 教授, 硕士生导师。1999年6月本科毕业于安庆师范学院数学系,并留校任教;2007年6月在安徽大学应用数学专业获理学硕士学位;2009年12月晋升副教授;2010年6月在安徽大学基础数学专业获理学博士学位;2011年6月遴选为数学学科硕士生导师,2012年12月至2014年11月在东南大学数学系博士后工作站学习和工作,2014年12月晋升教授。现任中共安徽省数学会第二届党委委员,安徽省数学会第九届理事会常务理事,中国自动化学会分数阶系统与控制专业委员会委员;研究方向: 泛函微分方程理论与应用、系统稳定性、神经网络系统动力学。主持完成安徽省自然科学基金面上项目、安徽省高校自然科学研究重点项目和安徽省高校优秀青年拔尖人才重点项目各1项,在国内外重要学术期刊发表论文50余篇, 作为主要完成人荣获安徽省教学成果奖4项和安徽省科学技术成果奖2项。2018年6月至2019年12月任安庆师范大学数学与计算科学学院党委委员、副院长;2019年12月至2022年8月任必赢线路检测3003no1党委委员、副院长;2022年8月至2023年12月任安庆师范大学教务处副处长;2023年12月至2024年9月任必赢线路检测3003no1党委委员、副院长(负责行政工作);2024年9月起至今任必赢线路检测3003no1党委委员、院长

教学情况

一、主讲课程

本科生课程:数学分析、数学分析选讲、常微分方程、控制论基础、复变函数与积分变换、高等数学、 线性代数.

硕士生课程:泛函分析、泛函微分方程、稳定性理论与方法、现代控制理论、分数微积分、分数阶微分方程理论.

二、教学研究课题

[1]主持2012年省级教研项目“高师院校高等数学课程改革与实践”(No. 2012 jyxm364).

[2]主持2019年省级“数学与应用数学”一流本科专业建设点 (教高厅函〔2019〕46号).

[3]主持2019年省级“数学一流本科人才示范引领基地”建设 (No. 2019rcsfjd056).

[4]主持2020年省级“数学专业课程思政教学团队”建设 (No. 2020kcszjxtd48).

[5]主持2020年省级“数学分析教学示范课”建设 (No. 1499).

[6]主持2021年国家级“数学与应用数学”一流本科专业建设点 (教高厅函〔2021〕7号).

[7]主持2022年省级“复杂网络系统分析与控制优秀研究生导师团队”建设(No. 2022yjsdstd045).

[8]主持2022年省级重大教学研究项目“教育部新一轮本科审核评估安庆师范大学建设方案”(No. 2022jyxm930).

三、教学成果奖

[1]参与教研 "数学建模竞赛与教学”荣获2016年安徽省教学成果二等奖.

[2]参与教研 "基于学科平台的互动合作,培养创新创业人才的研究与实践”荣获2019年安徽省教学成果三等奖.

[3]主持教研 "基于服务大别山革命老区基础教育发展的数学卓越教师-拔尖人才培养模式的改革和实践”荣获2021年安徽省教学成果二等奖.

[4]参与教研 "课程思政'五位一体'建设模式的理论创新与实践探索”荣获2023年安徽省教学成果一等奖.

学术研究

一、学术研究课题

[1]主持2019年安徽省自然科学基金面上项目"分数阶时滞神经网络系统的动力学研究" (No. 1908085MA01).

[2]参与2019年国家自然科学基金面上项目"复杂生物种群网络多稳性和引爆点的机理与预测研究”.(No. 11975025).

[3]参与2019年安徽省高校优秀青年人才项目"不确定Lur'e时滞系统的稳定性分析和控制”(No. gxyq2019048).

[4]参与2018年安徽省高校自然科学研究重点项目"基于比较原理的分数阶时滞神经网络系统的同步性研究" (No. KJ2018A0365).

[5]主持2016年安徽省高校优秀青年拔尖人才重点项目"分数阶时滞微分方程的若干问题研究" (No. gxyqZD2016205).

[6]参与2016年安徽省自然科学基金项目"具有Allee效应离散捕食系统的动力学行为研究" (No. 1608085MA14).

[7]主持2011年安徽省高校自然科学研究重点项目"退化微分方程的时滞研究” (No. KJ2011A197).

[8]主持2008年安徽省高校自然科学研究一般项目"退化时滞控制系统的若干问题研究” (No. KJ2008B152).

二、主要学术论文(*代表通讯作者)

[1]Hai Zhang*, Wei Jiang. Asymptotic stability criteria for singular differential nonlinear systems with time-varying delays, Journal of Mathematical Research and Exposition, 2010.

[2]张海*, 郑祖庥, 蒋威. 非线性分数阶泛函微分方程解的存在性, 数学物理学报, 2011.

[3]张海*, 赵小文, 蒋威. 分数阶一般退化微分系统的通解, 数学杂志, 2011.

[4]Hai Zhang*, Wei Jiang. Stability of neutral singular differential systems with multiple time-varying delays, Chinese Journal of Engineering Mathematics, 2011.

[5]Hai Zhang*, Jinde Cao. Controllability criteria for linear fractional differential systems with state delay andimpulses, Journal of Applied Mathematics, 2013.

[6]Hai Zhang*, Jinde Cao. General solution of linear fractional neutral differential difference equations, Discrete Dynamics in Nature and Society, 2013.

[7]Hai Zhang*, Jinde Cao. Reachability and controllability of fractional singular dynamical systems with control delay, Journal of Applied Mathematics, 2013.

[8]Daiyong Wu, Hai Zhang*, Jinde Cao, Tasawar Hayat. Stability and bifurcation analysis of a nonlinear discrete Logistic model with delay, Discrete Dynamics in Nature and Society, 2013.

[9]Hai Zhang*, Daiyong Wu, et al. Stability analysis for fractional-order linear singular delay differential systems, Discrete Dynamics in Nature and Society, 2014.

[10]Hai Zhang*, Daiyong Wu, Jinde Cao. Asymptotic stability of Caputo type fractional neutral dynamical systems with multiple discrete delays, Abstract and Applied Analysis, 2014.

[11]Hai Zhang*, Daiyong Wu. Variation of constant formulae for time invariant and time varying fractional delay differential systems, Journal of Mathematical Research with Applications, 2014.

[12]Daiyong Wu*, Hai Zhang. Bifurcation analysis of a two-species competitive discrete model of plankton allelopathy, Advances in Difference Equations, 2014.

[13]张海*, 李琳, 蒋威. 具多时滞的混合型分数阶微分方程的通解表示, 中国科学技术大学学报, 2015.

[14]Hai Zhang, Renyu Ye, Jinde Cao*, Ahmed Alsaedie. Existence and globally asymptotic stability of equilibrium solution for fractional-order hybrid BAM neural networks with distributed delays and impulses, Complexity, 2017.

[15]Hai Zhang*. Research on Fractional-Order Delayed Differential Equations [M], Hefei: Anhui University Press, 2018.

[16]Hai Zhang, Renyu Ye, Song Liu, Jinde Cao*, Ahmed Alsaedie, Xiaodi Li. LMI-based approach to stability analysis for fractional-order neural networks with discrete and distributed delays, International Journal of Systems Science, 2018.

[17]Hai Zhang*, Renyu Ye, Jinde Cao, Ahmed Alsaedie. Delay-independent stability of Riemann-Liouville fractional neutral-type delayed neural networks, Neural Processing Letters, 2018.

[18]Hai Zhang, Renyu Ye, Jinde Cao*, Ahmed Alsaedie, Xiaodi Li, Ying Wan. Lyapunov functional approach to stability analysis of Riemann-Liouville fractional neural networks with time-varying delays, Asian Journal of Control, 2018.

[19]Hai Zhang*, Miaolin Ye, Jinde Cao, Ahmed Alsaedie. Synchronization control of Riemann-Liouville fractional competitive network systems with time-varying delay and different time scales, International Journal of Control, Automation and Systems, 2018.

[20]Hai Zhang*, Miaolin Ye, Renyu Ye, Jinde Cao*. Synchronization stability of Riemann-Liouville fractional delay-coupled complex neural networks, Physica A, 2018.  

[21]B. Sundara Vadivoo, Raja Ramachandran, Jinde Cao*, Hai Zhang, Xiaodi Li. Controllability analysis of nonlinear neutral-type fractional-order differential systems with state delay and impulsive effects, International Journal of Control, Automation and Systems, 2018.

[22]Weiwei Zhang, Hai Zhang, Jinde Cao*, et al. Synchronization in uncertain fractional-order memristive complex-valued neural networks with multiple time delays, Neural Networks, 2019.

[23]Weiwei Zhang*, Hai Zhang, Jinde Cao, et al. Synchronization of delayed fractionalorder complex -valued neural networks with leakage delay, Physica A, 2020.

[24]Hai Zhang*, Jingshun Cheng, Hongmei Zhang, Weiwei Zhang, Jinde Cao*. Quasi-uniform synchronization of Caputo type fractional neural networks with leakage and discrete delays, Chaos, Solitons and Fractals, 2021.  

[25]Shuang Wang, Hai Zhang*, Weiwei Zhang, Hongmei Zhang. Finite-time projective synchronization of Caputo type fractional complex-valued delayed  neural networks, Mathematics, 2021.

[26]Chen Wang, Hai Zhang*, Hongmei Zhang, Weiwei Zhang. Globally projective synchronization for Caputo fractional quaternion-valued neural networks with discrete and distributed delays, AIMS Mathematics, 2021.

[27]Yuhong Cheng, Hai Zhang*, Weiwei Zhang, Hongmei Zhang. Novel algebraic criteria on global Mittag-Leffler synchronization for FOINNs with the Caputo derivative and delay, Journal of Applied Mathematics and Computing, 2022.

[28]Hai Zhang*, Yuhong Cheng, Hongmei Zhang, Weiwei Zhang, Jinde Cao*. Hybrid control design for Mittag-Leffler projective synchronization on FOQVNNs with multiple mixed delays and impulsive effects, Mathematics and Computers in Simulation, 2022.

[29]Hai Zhang*, Chen Wang, Weiwei Zhang, Hongmei Zhang. Mittag-Leffler stability and synchronization for FOQVFNNs including proportional delay and Caputo derivative via fractional differential inequality approach, Computational and Applied Mathematics, 2022.

[30]Jingshun Cheng, Hai Zhang*, Weiwei Zhang, Hongmei Zhang. Quasi-projective synchronization for Caputo type fractional-order complex-valued neural networks with mixed delays, International Journal of Control, Automation and Systems, 2022.

[31]Qiong Wu, Zhimin Yao, Zhouping Yin, Hai Zhang*. Fin-TS and Fix-TS on fractional quaternion delayed neural networks with uncertainty via establishing a new Caputo derivative inequality approach, Mathematical Biosciences and Engineering, 2022.

[32]Weiwei Zhang*, Hai Zhang, Jinde Cao, Hongmei Zhang, F.E. Alsaadi, A. Alsaedi. Global projective synchronization in fractional‐order quaternion valued neural networks, Asian Journal of Control, 2022.

[33]Hai Zhang*, Chen Wang, Renyu Ye,  Ivanka Stamova, Jinde Cao*.  Novel order-dependent passivity conditions of fractional generalized Cohen-Grossberg neural networks with proportional delays, Communications in Nonlinear Science and Numerical Simulation, 2023.

[34]Hai Zhang*, Yuhong Cheng, Weiwei Zhang, Hongmei Zhang. Time-dependent and Caputo derivative order-dependent quasi-uniform synchronization on fuzzy neural networks with proportional and distributed delays, Mathematics and Computers in Simulation, 2023.

[35]Chen Wang, Hai Zhang*,  Ivanka Stamova, Jinde Cao. Global synchronization for BAM delayed reaction-diffusion neural networks with fractional partial differential operator, Journal of the Franklin Institute, 2023.

[36]Chen Wang, Hai Zhang*, Renyu Ye, Weiwei Zhang, Hongmei Zhang. Finite time passivity analysis for Caputo fractional BAM reaction-diffusion delayed neural networks, Mathematics and Computers in Simulation, 2023.

[37]Yuhong Cheng, Hai Zhang*,  Ivanka Stamova*, Jinde Cao. Estimate scheme for fractional order-dependent fixed-time synchronization on Caputo quaternion-valued BAM network systems with time-varying delays, Journal of the Franklin Institute, 2023.

[38]Hongmei Zhang, Hai Zhang*, Weiwei Zhang, Jinde Cao. LMI-based synchronization conditions to R-L fractional time-varying delayed neural networks with parametric uncertainty, Neural Processing Letters, 2023.

[39]Hongmei Zhang, Hai Zhang*, Weiwei Zhang, Chen Wang. Novel asymptotic synchronization criteria on Riemann-Liouville derivative type nonidentical delayed neural networks, International Journal of Control, Automation and Systems, 2023.

[40]Xinbin Chen, Hai Zhang*, Renyu Ye, Qinyun Lu, Jinde Cao. Quasi-Projective Synchronization Analysis of Delayed Caputo-type BAM Neural Networks in the Complex Field, Neural Processing Letters, 2023.

[41]Xinbin Chen, Weiwei Zhang, Hongmei Zhang, Hai Zhang*. Adaptive control design and fractional differential inequality approach to complete synchronization analysis on Caputo delayed quaternion-valued network systems, International Journal of Control, Automation and Systems, 2023. 

[42]Hai Zhang*, Xinbin Chen, Renyu Ye, Ivanka Stamova, Jinde Cao*. Quasi-projective synchronization analysis of discrete-time FOCVNNs via delay-feedback control, Chaos, Solitons and Fractals, 2023.

[43]Hai Zhang*, Xinbin Chen, Renyu Ye,  Ivanka Stamova, Jinde Cao. Adaptive quasi-synchronization analysis for Caputo delayed Cohen-Grossberg neural networks, Mathematics and Computers in Simulation, 2023.

[44]Hai Zhang*, Xinbin Chen, Renyu Ye, Qinyun Lu, Jinde Cao. Laplace transform and nonlinear control design for quasi-projective synchronization analysis for Caputo inertial delayed neural networks, Mathematical Methods in the Applied Sciences, 2023.

[45]Weiying Shang, Weiwei Zhang*, Hai Zhang, Hongmei Zhang, Jinde Cao, Fawaz E. Alsaadi. Finite-time lag projective synchronization of delayed fractional-order quaternion-valued neural networks with parameter uncertainties, Nonlinear Analysis: Modelling and Control, 2023.

[46]Xiangnian Yin, Hongmei Zhang*,  Hai Zhang, Weiwei Zhang, Jinde Cao. New results of global Mittag-Leffler synchronization on Caputo fuzzy delayed inertial neural networks, Nonlinear Analysis: Modelling and Control, 2023.

[47]Hongmei Zhang, Xiangnian Yin, Hai Zhang*, Weiwei Zhang. New criteria on global Mittag-Leffler synchronization for Caputo-type delayed Cohen-Grossberg Inertial Neural Networks, AIMS Mathematics, 2023.

[48]Panqing Gao, Hai Zhang*, Renyu Ye,  Ivanka Stamova, Jinde Cao. Quasi-uniform synchronization of fractional fuzzy discrete-time delayed neural networks via delayed feedback control design, Communications in Nonlinear Science and Numerical Simulation, 2023.

[49]Hai Zhang*, Chen Wang, Renyu Ye,  Jinde Cao. Novel Caputo fractional differential approach and hybrid control scheme for finite-time synchronization of nonidentical delayed reaction–diffusion neural networks, Asian Journal of Control, 2024.

[50]Panqing Gao, Renyu Ye, Hai Zhang*, Ivanka Stamova, Jinde Cao. Asymptotic stability and quantitative synchronization of fractional competitive neural networks with multiple restrictions, Mathematics and Computers in Simulation, 2024.

[51]Chen Wang,Hai Zhang,Danli Wen,Mouquan Shen*,Liwei Li, Zhihao Zhang. Novel passivity and dissipativity criteria for discrete-time fractional generalized delayed Cohen–Grossberg neural networks, Communications in Nonlinear Science and Numerical Simulation, 2024.

[52]Weiying Shang, Weiwei Zhang*, Hai Zhang, Hongmei Zhang, Jinde Cao. Results on finite time passivity of fractional-order quaternion-valued neural networks with time delay via linear matrix inequalities, Journal of Applied Mathematics and Computing, 2024.

[53]Yan He, Weiwei Zhang*, Hai Zhang, Jinde Cao, Fawaz E Alsaadi. Finite-time projective synchronization of fractional-order delayed quaternion-valued fuzzy memristive neural networks, Nonlinear Analysis: Modelling and Control, 2024.

[54]Xinbin Chen, Renyu Ye, Hai Zhang*, Ivanka Stamova, Jinde Cao. Finite-time synchronization criteria on delayed FOCVNNs with uncertain parameters and difference operator, Journal of the Franklin Institute, 2024.

[55]Qinyun Lu*, Ya Li, Hai Zhang, Hongmei Zhang. Uncertainty distributions of solutions to nabla Caputo uncertain difference equations and application to a logistic model, AIMS Mathematics, 2024.

[56]Yan He, Weiwei Zhang*, Hai Zhang, Dingyuan Chen, Jinde Cao. Lag projective synchronization of discrete-time fractional-order quaternion-valued neural networks with time delays, Neural Networks, 2024.

[57]Yan He, Weiwei Zhang*, Hai Zhang, Dingyuan Chen, Jinde Cao. New synchronization results for fractional neural networks with parameter uncertainty and reaction-diffusion terms, Chinese Journal of Physics, 2024.

[58]Zhenjie Wang, Weiwei Zhang*, Hai Zhang, Dingyuan Chen, Jinde Cao, Mahmoud Abdel-Aty. Finite-time quasi-projective synchronization of fractional-order reaction-diffusion delayed neural networks, Information Sciences, 2024.

三、科学技术成果奖

[1]参与科研“泛函微分方程理论与应用研究”荣获2009年度安徽省科学技术成果二等奖.

[2]参与科研“尺度格局下环境扰动对濒危物种的影响机制及模型预测”荣获2016年度安徽省科学技术成果三等奖.

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