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教师简历 当前位置: 首页 > 师资队伍 > 数学与应用数学系 > 正文
 
孙 梅
姓  名 孙梅
职务职称: 二级教授、博士生导师
研究方向 复杂系统分析及建模、非线性动力系统理论及应用
研究生招生专业: 数学、控制科学与工程
联系电话: 0511-88780161
E-mail sunm@ujs.edu.cn
通信地址 江苏省镇江市学府路301号江苏大学数学科学学院(212013)
 

● 1981/09-1985/07,扬州大学数学系,大学/本科.
● 2003/09-2006/07,江苏大学数学系,博士,导师:田立新.

● 1985/07-今,江苏大学理学院学院数学与应用数学系,教授,博士生导师.
● 2008/07-2008/10,美国佐治亚理工学院,访问学者.
● 2013/06-2013/09,美国劳伦斯伯克利国家实验室,访问学者.
● 2015/08-2015/09,美国纽约城市大学,访问学者.

● 1986/09-1989/07,江苏省数学学会常务理事.
● 1986/09-1989/07,江苏省运筹学会常务理事.

● 混沌动力学理论及应用(博士)
● 复杂网络导论(博士)
● 演化系统分析及控制(博士)
● 高等数学(本科)

● 江苏省研究生教育教学改革研究与实践课题:“分层次、立体式、多维度”的研究生公共数学课程体系改革的研究(JGZZ13_063),2013.1-2014.12,主持
● 全国高等教育科学“十五”规划重点课题:新世纪工科数学教育改革及创新人才培养(19-106-53),2003.1-2008.1,参与
● 江苏省教育科学“十五”规划课题:面向新世纪面向现代化高等数学大范围教学改革的研究(D/2001/01/153), 2003.1-2008.1,参与

● 《高等数学》(经管类),2013年,主编
● 《高等数学》,2010年,参编

在研项目 
● 国家自然科学基金项目:微电网系统中多主体低碳选择的交互行为及演化博弈的研究(71774070),主持
● 国家自然科学基金项目:基于演化博弈的智能电网供需动态耦合优化及政策分析(71473108),主持
完成项目
● 国家自然科学基金项目:基于计算实验的石油供需网络优化与动态调控研究(71273119),主持
● 国家自然科学基金项目:基于复杂系统理论的能源供需模型的理论方法及政策分析(71073071),主持
● 国家社会科学基金重大项目:我国能源价格体系建设与能源发展战略转型研究(12&ZD062),子课题负责人
● 江苏省“六大人才高峰”第九批高层次人才项目:能源供需网络参数辨识、优化与调控措施研究,主持
● 教育部人文社会科学研究项目:基于复杂网络模型的我国能源供需体系可持续发展战略研究(09YJA90088),主持
● 教育厅社科重大招标项目:新时期能源供需储备复杂系统理论研究(2010-2-10),主持
● 中国博士后科学基金项目:建立健全节能减排评价指标体系、监测体系研究(20080431071), 2008.1-2009.12,主持
● 江苏省博士后科研资助计划项目:能源供需中的核心科学问题的研究(0701038C) , 2007.1-2008.12,主持
● 镇江市软科学基金:镇江市节能减排监管机制的研究(RK2008026), 2008.6-2009.6,主持
● 江苏省教育厅人文社科基金项目:江苏能源复杂系统可持续发展战略研究(04SJD790010), 2005.1-2005.12,主持
● 江苏大学高级人才启动基金:江苏省能源供需经济系统的可持续战略研究(06JDG044), 2007.01-2008.12,主持
● 国家自然科学基金项目:推进低碳经济发展的节能减排体系研究(71073072),参与(第二)
● 教育部人文社会科学研究一般项目:长江三角洲地区节能减排环境保护研究(08JA790058),参与(第二)
● 江苏省哲学社会科学基金项目:长江三角洲区域经济持续增长的能源生产与供给系统研究(06EYB006),参与(第二)
● 江苏省软科学研究项目:江苏资源战略研究及对策(BR2006032),参与(第二)
● 江苏省社会科学基金一般项目:长江三角洲地区加快推进环境保护一体化研究(08CSJ008),参与(第二)

● 能源供需系统分析—基于复杂网络新视角,科学出版社,2017年3月,第一
● 能源价格系统分析,科学出版社,2011年10月,第二
● 能源供需系统分析,科学出版社,2011年10月,第二
● 能源碳排放系统分析,科学出版社, 2013年5月,第二
● 非线性动力性与混沌,机械工业出版社, 2017年3月,第一

1.Ayepah K, Sun M, Jia Q. Event-triggered synchronization of switching dynamical networks with periodic sampling, IEEE Transactions on Circuits and Systems II-Express Briefs[J], 2021, 68(6): 2172-2176,.

2.Jia Q, Sun M, Tang W K S. Consensus of multiagent systems with delayed node dynamics and time-varying coupling, IEEE Transactions on Systems Man Cybernetics-Systems[J], 2021, 51(6): 3320-3329.

3.Wang Z, Sun M, Gao C, et al. A new interactive real-time pricing mechanism of demand response based on an evaluation model[J]. Applied Energy, 2021, 295(2634):117052.

4.Wang X, Sun M. A novel prediction model of multi-layer symbolic pattern network: Based on causation entropy[J]. Physica A: Statistical Mechanics and its Applications, 2021, 575(6):126045.

5.Abid M, Sun M, Nazir H Z, et al. A mixed cumulative sum homogeneously weighted moving average control chart for monitoring process mean[J]. Quality and Reliability Engineering, 2020(7).

6.Abid M, Sun M, Nazir H Z, et al. A mixed HWMA‐CUSUM mean chart with an application to manufacturing process[J]. Quality and Reliability Engineering International, 2020.

7.Liu Y, Sun M. Application of duopoly multi-periodical game with bounded rationality in power supply market based on information asymmetry[J]. Applied Mathematical Modelling, 2020, 87.

8.Adjei Mensah I, Sun M, Gao C, et al. Investigation on key contributors of energy consumption in dynamic heterogeneous panel data (DHPD) model for African countries: fresh evidence from dynamic common correlated effect (DCCE) approach[J]. Environmental Science and Pollution Research, 2020, 27(31):38674-38694.

9.Zhang Z, Sun M. Enhanced deterministic joint remote state preparation under Pauli channels with memory[J]. Physica Scripta, 2020, 95(5):055107 (9pp).

10.Gao A, Sun M, Han D, et al. Multiresolution analysis of information flows from international carbon trading market to the clean energy stock market[J]. Journal of Renewable and Sustainable Energy, 2020, 12(5):055901.

11.Mensah I A, Sun M, Gao C, et al. Analysis on the nexus of economic growth, fossil fuel energy consumption, CO2 emissions and oil price in Africa based on a PMG panel ARDL approach[J]. Journal of Cleaner Production, 2019, 228(AUG.10):161-174.

12.Li X, Sun M, Gao C, et al. The spillover effects between natural gas and crude oil markets: The correlation network analysis based on multi-scale approach[J]. Physica A: Statistical Mechanics and its Applications, 2019.

13.An Y, Sun M, Gao C, et al. Analysis of the impact of crude oil price fluctuations on China's stock market in different periods—Based on time series network model[J]. Physica A: Statal Mechanics and its Applications, 2018, 492.

14.Li X, Sun M, Gao C, et al. The parametric modified limited penetrable visibility graph for constructing complex networks from time series[J]. Physica A: Statal Mechanics and its Applications, 2018: S0378437117311160.

15.Ampimah B C, Sun M, Han D, et al. Optimizing sheddable and shiftable residential electricity consumption by incentivized peak and off-peak credit function approach[J]. Applied Energy, 2017: S0306261917309716.

16.Sun M, Li J, Gao C, et al. Identifying regime shifts in the US electricity market based on price fluctuations[J]. Applied Energy, 2017, 194(MAY15):658-666.

17.Zhang P, Sun M, Zhang X, et al. Who are leading the change? The impact of China's leading PV enterprises: A complex network analysis[J]. Applied Energy, 2017, 207(dec.1):477-493.

18.Gao A, Sun M, Shen C, et al. An optimization model for China's emission reduction resulting from the shift to wind power[J]. Energy Procedia, 2017, 105:309-315.

19.Long X, Sun M, Cheng F, et al. Convergence analysis of eco-efficiency of China's cement manufacturers through unit root test of panel data[J]. Energy, 2017, 134(sep.1):709-717.

20.Sun M, Li J, Gao C, et al. Identifying regime shifts in the US electricity market based on price fluctuations[J]. Applied Energy, 2017, 194(MAY15):658-666.

21.Sun M, Zhang P, Gao C, et al. Study on the mutual influence between enterprises: A complex network perspective of China's PV enterprises[J]. Journal of Renewable and Sustainable Energy, 2016, 8(6):063502.

22.Han D, Li D, Sun M. How the initial level of visibility and limited resource affect the evolution of cooperation[J]. Scientific Reports, 2016, 6(1):27191.

23.Gao C, Sun M, Geng Y, et al. A bibliometric analysis based review on wind power price[J]. Applied Energy, 2016, 182:602-612.

24.Sun M, Wang Y, Gao C. Visibility graph network analysis of natural gas price: The case of North American market[J]. Physica A: Statistical Mechanics and its Applications, 2016, 462,1-11.

25.Sun M, Han D. An evolutionary vaccination game in the modified activity driven network by considering the closeness[J]. Physica, A. Statistical mechanics and its applications, 2016, 443, 49–57.

26.Sun M, Li J, Gao C, et al. Research on the US electricity market based on price fluctuations[J]. Energy Procedia, 2016, 88:297-304.

27.Gao C, Sun M, Shen B. Features and evolution of international fossil energy trade relationships: A weighted multilayer network analysis[J]. Applied Energy, 2015, 156(OCT.15):542-554.

28.Han D, Sun M, Li D. The virus variation model by considering the degree-dependent spreading rate[J]. Physica A Statistical Mechanics & Its Applications, 2015, 433:42-50.

29.Han D, Sun M, Li D. Epidemic process on activity-driven modular networks[J]. Physica A Statistical Mechanics & Its Applications, 2015, 432:354-362.

30.Gao C, Sun M, Shen B, et al. Optimization of China's energy structure based on portfolio theory[J]. Energy, 2014, 77:890-897.

31.Han D, Sun M. Can memory and conformism resolve the vaccination dilemma? [J]. Physica A Statistical Mechanics & Its Applications, 2014, 415:95-104.

32.Sun M, Gao C, Shen B. Quantifying China's oil import risks and the impact on the national economy[J]. Energy Policy, 2014, 67(C):605-611.

33.Sun M, Zhang H, Han D, et al. A hierarchical-network-model based analysis of the market characteristics of China's photovoltaic enterprises[J]. Journal of Renewable & Sustainable Energy, 2014, 6(4):70-73.

34.Sun M, Han D, Li D, et al. Third-order leader-following consensus with circumstance noise under impulsive and switching control[J]. International Journal of Modern Physics C (IJMPC), 2014, 25(08), 1450026.

35.Sun M, Li D, Han D, et al. Impact of anti-virus software on computer virus dynamical behavior[J]. International Journal of Modern Physics C, 2014, 25(5), 1440010.

36.Fang C, Sun M, Zhang P, et al. A comparison of coal supply-demand in China and in the US based on a network model[J]. Chinese Physics B, 2013, 22(010):631-637.

37.Sun M, Li D, Han D, et al. Synchronization of Colored Networks via Discrete Control[J]. Chinese Physics Letters, 2013, 30(9):090202.

38.Sun M, Han D, Li D, et al. The general evolving model for energy supply-demand network with local-world[J]. International Journal of Modern Physics C Physics & Computers, 2013,24(10),1350070.

39.Sun M, Zhang P, Shan T, et al. Research on the evolution model of an energy supply-demand network[J]. Physica A: Statistical Mechanics and its Applications, 2012, 391(19), 4506–4516.

40.Sun M, Cheng Y, Cao L, et al. Adaptive Third-Order Leader-Following Consensus of Nonlinear Multi-agent Systems with Perturbations[J]. Chinese Physics Letters, 2012, 29(2), 020503.

41.Sun M, Wang X, Chen Y, et al. Energy resources demand-supply system analysis and empirical research based on non-linear approach[J]. Energy, 2011, 36(9):5460-5465.

42.Sun M, Tao Y, Wang X, et al. The model reference control for the four-dimensional energy supply-demand system[J]. Applied Mathematical Modelling, 2011, 35(10):5165-5172.

43.Sun M, Chen Y, Long C. Adaptive outer synchronization between two nonidentical networks using arbitrary coupling strength[C]. 中国自动化学会控制理论专业委员会b. 2011.

44.孙梅, 陶阳威. 节能降耗目标分解模型研究[J]. 统计与决策, 2011(05):53-55.

45.陶阳威, 孙梅, 王小芳. 基于改进的BP神经网络的中国能源需求预测研究[J]. 山西财经大学学报, 2010(S2):3-5.

46.江苏省碳排放预测与控制研究,第二届中国能源科学家论坛论文集,2010年10月,ISTP检索

47.Sun M, Zeng C, Tian L. Linear generalized synchronization between two complex networks[J]. Communications in Nonlinear Science & Numerical Simulation, 2010, 15(8):2162-2167.

48.Du R, Dong G, Tian L, et al. Projective synchronisation with non-delayed and delayed coupling in complex networks consisting of identical nodes and different nodes[J]. Chinese Physics B, 2010, 19(007):113-122.

49.Dong G, Zheng S, Tian L, et al. The analysis of complex behaviours of a novel three dimensional autonomous system[J]. Chinese Physics B, 2010(07):156-166.

50.曾长燕, 孙梅, 田立新. 基于自适应-脉冲控制方法实现时变耦合驱动-响应复杂网络的投影同步[J]. 物理学报, 2010(08):5288-5292.

51.Zheng C, Sun M, Tao Y, et al. Adaptive-Impulsive Control for Generalized Projective Synchronization Between Two Complex Networks with Time Delay[C]. Chinese Control & Decision Conference. 2010.

52.Sun M, Zeng C, Tao Y, et al. Adaptive–impulsive synchronization in drive–response networks of continuous systems and its application[J]. Physics Letters A, 2009, 373(34), 3041–3046.

53.Sun M, Tian L, Zeng C. The energy resources system with parametric perturbations and its hyperchaos control[J]. Nonlinear Analysis Real World Applications, 2009, 10(4):2620-2626.

54.Sun M, Zeng C, Tian L. Generalized Projective Synchronization between Two Complex Networks with Time-Varying Coupling Delay[J]. Chinese Physics Letters, 2009, 26(1):43-46.

55.Sun M, Jia Q, Tian L. A new four-dimensional energy resources system and its linear feedback control[J]. Chaos Solitons & Fractals, 2009, 39(1):101-108.

56.Sun M, Tian L, Jia Q. Adaptive control and synchronization of a four-dimensional energy resources system with unknown parameters[J]. Chaos Solitons & Fractals, 2009, 39(4):1943-1949.

57.Dong G, Zheng S, Tian L, et al. The analysis of a novel 3-D autonomous system and circuit implementation[J]. Physics Letters A, 2009, 373(46):4227-4238.

58.Tian L, Xu J, Sun M, et al. On a new time-delayed feedback control of chaotic systems[J]. Chaos Solitons & Fractals, 2009, 39(2):831-839.

59.Sun M, Zeng C, Ling L. Chaos control and chaotification for a three-dimensional autonomous system[J]. International Journal of Nonlinear Science, 2009.

60.Sun M, Zeng C, Ling L. Projective synchronization in drive–response dynamical networks of partially linear systems with time-varying coupling delay[J]. Physics Letters A, 2008, 372(46):6904-6908.

61.孙梅, 田立新, 张培培,等. 一个能源供需网络演化模型[J]. 管理学报, 2008, 5(5):685.

62.Sun M, Tian L, Fu Y. An energy resources demand–supply system and its dynamical analysis[J]. Chaos Solitons & Fractals, 2007, 32(1):168-180.

63.Sun M, Tian L, Fu Y, et al. Dynamics and adaptive synchronization of the energy resource system[J]. Chaos Solitons & Fractals, 2007, 31(4):879-888.

64.Sun M, Tian L, Jiang S, et al. Feedback control and adaptive control of the energy resource chaotic system[J]. Chaos, Solitons & Fractals, 2007, 32(5), 1725–1734.

65.Controlling chaos in the energy resource system by time-delayed feedback, 第六届管理国际大会论文集, Vol.3 (2007) No.3, pp.228-234, ISTP检索.

66.孙梅, 田立新, 徐俊. 基于因子分析法的能源安全监测预警系统的构建[J]. 统计与决策, 2007, 000(013):65-66.

67.Tian L, Xu J, Sun M. Chaos synchronization of the energy resource chaotic system with active control[J]. International Journal of Nonlinear Science, 2007.

68.Sun M, Tian L, Jian Y. Hopf bifurcation analysis of the energy resource chaotic system[J]. International Journal of Nonlinear Science, 2006.

69.Sun M, Tian L, Xu J. Time-delayed feedback control of the energy resource chaotic system[J]. International Journal of Nonlinear Science, 2006, 1(3):1479-3889.

70.孙梅, 田立新, 傅瑛. 江苏-西部能源需求-供给模型及其动力学分析[J]. 系统科学与数学, 2006, 26(006):658-669.

● 2018年获江苏大学研究生优秀指导教师荣誉,独立
● 2015年教育部高等学校科学研究优秀成果奖一等奖,排名第二
● 2014年获江苏省第十三届哲学社会科学优秀成果一等奖,第二
● 2013年获2008-2012年度江苏大学研究生优秀指导教师荣誉,独立
● 2012年获江苏大学龙腾卓越奖教金,独立
● 2011年获江苏省科学技术进步三等奖,第二
● 2010年获江苏省高等学校优秀共产党员荣誉称号,独立
● 2009年获中国机械工业科学技术奖二等奖,第二
● 2007年获镇江市第十届优秀科技论文一等奖,第一
● 2007年获江苏省优秀博士学位论文奖,独立

 
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