姓 名 朱松 性 别 男
出生年月 1982年4月 籍贯 宿迁
民 族 汉族 政治面貌 中共党员
最后学历 博士研究生 最后学位 工学博士
技术职称 教授 导师类别 博、硕导
行政职务 系副主任 Email songzhu@cumt.edu.cn
工作单位 中国矿业大学数学学院 邮政编码 221116
通讯地址 南湖校区
单位电话
个人主页 http://math.cumt.edu.cn/6d/f5/c9104a355829/page.htm


个人简介
朱松，男，1982年生，江苏宿迁人，教授，博士(后)，博士生导师，徐州市工业与应用数学学会秘书长，2010.12月博士毕业于华中科技大学人工智能与自动化学院；2011.03加入数学学院，主持国家自然科学基金面上项目，青年项目等10余项；以第一作者或通讯作者在IEEE TCYB，IEEE TNNLS，IEEE TSMC:Systems, IJRNC，IJC，NN等国际著名期刊发表学术论文80余篇，其中SCI论文60余篇，单篇影响因子大于10的6篇，ESI高被引论文2篇。研究方向：随机系统稳定性理论、神经网络动力学行为、忆阻器、流体网络。

获奖、荣誉称号
2012年 中国矿业大学2012年度考核优秀
2013年 中国矿业大学2013年促进就业先进个人
2013年 徐州市工业与应用数学协会2013年优秀科技论文一等奖
2014年 中国矿业大学2014年校级教学成果特等奖（4/5）
2014年 中国矿业大学第9批校优秀青年骨干教师
2015年 中国矿业大学首届青年才俊
2015年 中国矿业大学2015年度考核优秀
2015年 中国矿业大学2015年度实习优秀带队指导教师
2016年 中国电机工程学会杯三等奖
2016年 全国煤炭行业教育教学成果奖二等奖（7/7）
2017年 中国矿业大学第10批校优秀青年骨干教师
2018年 中国矿业大学2018年本科招生先进个人
2018年中国矿业大学研究生优秀导学团队
2019年 中国矿业大学第3届“立德树人-最美教师”师德楷模提名奖
2019年 江苏省优秀硕士学位论文指导教师
2019年 中国矿业大学科研育人先进个人
2020年 徐州市优秀学会工作者，徐州市科学技术协会

社会、学会及学术兼职
徐州市工业与应用数学学会秘书长
中国自动化学会控制理论专业委员会随机系统控制学组成员
中国自动化学会青年工作委员会，委员
中国人工智能学会机器智慧与数据学习专业委员会，委员
中国自动化学会环境感知与保护自动化专业委员会，委员
多个国际国内会议的PC member

研究领域
随机微分方程，神经网络，忆阻器，流体网络

科研项目
[1] 国家自然科学基金面上项目，多种噪声诱导的随机切换神经网络的动态性及控制，**，75.6万，在研，主持
[2] 国家自然科学基金青年基金，马氏切换随机神经网络的动力学行为分析与控制，**，25万，已结题，主持
[3] 中国矿业大学双一流建设专项，新一代人工智能基础理论和共性技术，2018ZZCX14，240万，在研，参加
[4] 中国博士后科学基金，矿井通风系统稳定性分析与控制，2014M560459，8万，已结题，主持
[5] 江苏省博士后科学基金，矿井通风系统的稳定性与控制研究，**B，3万，已结题，主持
[6]中央高校基本科研业务费，基于忆阻器的神经网络动力学行为研究，10万，已结题，主持
[7] 中央高校基本科研业务费，具有Markov切换随机神经网络动力学分析及应用研究，10万，已结题，主持
[8] 中央高校基本科研业务费专项资金，随机切换神经网络动态性与控制，2018XKQYMS15，20万，在研，主持
[9] 中国矿业大学第9批优秀青年骨干教师基金，2万，已结题，主持
[10] 中国矿业大学第10批优秀青年骨干教师基金，2万，在研，主持
[11] 中国矿业大学人才引进基金，具有Markov跳跃随机回归神经网络的动力学行为研究，8万，已结题，主持
[12] 中国矿业大学启航计划，含有Markov切换随机神经网络的动力性行为研究，3万，已结题，主持
[13] 华中科技大学博士学位论文创新基金，随机回归神经网络的动力学行为研究，1万，已结题，主持
[14] 中国矿业大学教改项目，《线性代数》公共基础课教学方法的探索与实践--基于Matlab操作的实践教学改革，0.5万，已结题，主持
[15] 中国矿业大学研究生教改项目，目标导向下团队制研究生“传帮带”能力培养，1万，2017Y05，在研，结题
[16] 中国矿业大学教改项目，抽样调查课程教学能力提升探索，1万，2018YB30，在研，主持

发表论文
近年来，在IEEE TCYB, IEEE TNNLS， IEEE TSMC: Systems, IJRNC, NN, IJC 等国内外20余种重要学术期刊上以第一作者或通讯作者发表学术论文80余篇，其中SCI检索60余篇，单篇影响因子大于10的6篇, ESI高被引论文2篇。代表性论文如下：
科研论文：
[63]Kun Deng, Song Zhu, Wei Dai, Chunyu Yang, Shiping Wen, New Criteria on Stability of Dynamic Memristor Delayed Cellular Neural Networks, IEEE Transactions on Cybernetics, DOI：10.1109/TCYB.2020.**
[62]Shiping Wen, Xiaoze Ni, Huamin Wang, Kaibo Shi, Song Zhu, Tingwen Huang, Observer-Based Adapative Synchronization of Multiagent Systems With Unknown Parameters Under Attacks, IEEE Transactions on Neural Networks and Learning Systems DOI: 10.1109/TNNLS.2021.**
[61]Xiaoze Ni,Shiping Wen,Huamin Wang,Zhenyuan Guo, Song Zhu, Tingwen Huang,Observer-Based Quasi-Synchronization of Delayed Dynamical Networks with Parameter Mismatch under Impulsive Effect, IEEE Transactions on Neural Networks and Learning Systems DOI: 10.1109/ TNNLS. 2020.**
[60] Song Zhu, Chongyang Chen, Chunyu Yang, Jun Fu, Zhigang Zeng, Finite-Time Stabilization and Energy Consumption Estimation for Delayed Nonlinear Systems, IEEE Transactions on Systems Man and Cybernetics: Systems,DOI：10.1109/TSMC.2020.**
[59]Jiahui Zhang, Song Zhu, Nannan Lu,Shiping Wen,Multistability of state-dependent switching neural networks with discontinuous nonmonotonic piecewise linear activation functions, Neurocomputing 437(2021)300-311
[58]Yu Gao, Song Zhu, Chunyu Yang, Shiping Wen, State bounding for fuzzy memristive neural networks with bounded input disturbances, Neural Networks, 134(2021)163-172
[57]Yuanchu Shen, Song Zhu,Multistability of delayed neural networks with monotonically nodecreasing linear activation function, Neurocomputing 423(2021)89-97
[56]Chongyang Chen, Song Zhu, Min Wang, Chunyu Yang, Zhigang Zeng,Finite-time stabilization and energy consumption estimation for delayed neural networks with bounded activation function, Neural Networks 131 (2020) 163–171
[55]Song Zhu,Dan Liu, Chunyu Yang, Jun Fu, Synchronization ofMemristiveComplex-Valued Neural Networks with Time Delays via Pinning Control Method. IEEE Transactions on Cybernetics 50(2020)3806-3815
[54] Wenbo Xie, Zhaokun Han, Fen Wu, Song Zhu, H∞ Observer-Controller Synthesis Approach inLow Frequency for T-S Fuzzy Systems. IET Control Theory and Applications, 14(2020)738-749

[53] Yu Gao, Song Zhu, Jinyu Li, Reachable set bounding for a class of memristive complex-valued neural networkswith disturbances.Neurocomputing 385 (2020)368–377
[52]RuihanChen, Song Zhu, Yongqiang Qi, Yuxin Hou,Reachable set bounding for neural networks with mixed delays：Reciprocally convex approach.Neural Networks 125 (2020) 165–173
[51]Chongyang Chen, Song Zhu, Yongchang Wei, Chunyu Yang, Finite-time Stability of Delayed Memristor-Based Fractional-Order Neural Networks. IEEE Transactions on Cybernetics, 50,4(2020)1607-1616
[50]Yongchang Wei, Song Zhu, Fangyu Chen, Robust Control of Supply Chain Networks with Multiple Lead Timesand Demand Uncertainties, IFAC-Papers On Line 52 (2019)784-789
[49]R. Samidurai, R. Sriraman, Song Zhu, Stability and dissipativity analysis for uncertain Markovian jump systems with random delays via new approach, International Journal of Systems Sciences, 50(2019)1609-1625
[48]Wei Xu, Song Zhu, Xiaoyu Fang, Wei Wang,Adaptiveanti-synchronization of memristor-based complex-valued neural networks with time delays,Physica A，535(2019)122427
[47] Kaili Sun, Song Zhu, Yongchang Wei, Xiaoke Zhang, Fei Gao, Finite-time synchronization of memristor-based complex-valued neural networks with delays, Physics Letters A, 383(2019)2255-2263
[46] Kaili Sun, Song Zhu, The express decay effect of time delays for globally exponentially stable nonlinear stochastic systems, Peer-to-Peer Networking and Applications, 12(2019)1716-1725
[45] R. Samidurai, R. Sriraman, Song Zhu, Leakage delay-dependent stability analysis for complex-valued neural networks with discrete and distributed time-varying delays, Neurocomputing, 338(2019)262-273
[44]Wei Xu, Song Zhu, Xiaoyu Fang, Wei Wang,Adaptive synchronization of memristor-based complex-valued neural networks with time delays, Neurocomputing, 364(2019)119-128
[43] Hao Wang, Chunyu Yang, Song Zhu, Neural networks-based adaptive tracking control for a class of nonlinear sigular perturbed systems, IEEE Access, 7(1)(2019)43205-43213
[42] Chongyang Chen, Song Zhu, Yongchang Wei, Closed-loop control of nonlinear neural networks: The estimate of Control time and energy cost. Neural Networks, 117(2019)145-151
[41] Dan Liu, Song Zhu, Kaili Sun, Global anti-synchronization of complex-valued memristive neural networks with time delays. IEEE Transactions on Cybernetics 49,5(2019)1735-1747
[40] Yongchang Wei, Can Wang, Song Zhu, Hailong Xue, Fangyu Chen, Online purchase intention of fruits:antecedents in an integrated model based on technology acceptance model and perceived risk theory. Frontiers in Psychology, 9(2018)1521
[39] Wenting Chang, Song Zhu, Kaili Sun, Global Mittag-Leffler stabilization of fractional-order complex-valued memristive neural networks. Applied Mathematics and Computation 338(1)(2018)346-362
[38] Dan Liu, Song Zhu, Kaili Sun, Anti-synchronization of complex-valued memristor-based delayed neural networks. Neural Networks 105 (2018)1-13
[37] Song Zhu, Peng Shi, Cheng-Chew Lim, New criteria for stochastic suppression and stabilization of hybrid functional differential systems. International Journal of Robust and Nonlinear Control 28(13)(2018)3946-3958
[36] Song Zhu, Er Ye, Dan Liu, Shengwu Zhou, New algebraic criteria for global exponential periodicity and stability of memristive neural networks with variable delays. Neural Processing Letters 48,(3)(2018)1749-1766
[35] Song Zhu, Kaili Sun, Wenting Chang, Min Wang, Stochastic suppression and stabilization of nonlinear hybrid delay systems with general one-sided polynomial growth condition and decay rate. IET Control Theory and Applications 12,(7)(2018) 933- 941
[34] Song Zhu, Wenting Chang, Dan Liu. Almost sure exponential stability of stochastic fluid networks with nonlinear control. International Journal of Control 91,(2)(2018)400-410
[33] Dan Liu, Song Zhu, Kaili Sun, New results for exponential stability of complex-valued memristive neural networks with variable delays. Neurocomputing 275,31(2018)758-767
[32] Dan Liu, Song Zhu, Kaili Sun, Global exponential periodicity and stability of memristor- based complex-valued delayed neural networks. International Journal of Systems Sciences. 49,2(2018)231-245
[31] Song Zhu, Min Wang, Yingke Liu, Adaptive decentralized control of fluid networks with random disturbances. IET Control Theory and Applications, 11,(18)(2017):3321-3328
[30] Dan Liu, Song Zhu, Er Ye, Synchronization stability of memristor-based complex-valued neural networks with time delays. Neural Networks 96(2017)115-127
[29] Song Zhu, Kaili Sun, Shengwu Zhou, Yan Shi, Stochastic suppression and almost surely stabilization of non-autonomous hybrid system with a new general one-sided polynomial growth condition. Journal of the Franklin Institute 35(2017)6550-6566
[28] Dan Liu, Song Zhu, Wenting Chang, Global exponential stability of stochastic memristor-based complex-valued neural networks with time delays. Nonlinear Dynamics 90,2(2017) 915-934
[27] Kai Zhong, Qiqi Yang, Song Zhu. New algebraic conditions for ISS of memoristor neural networks with variable delays. Neural Computing and Applications 28(2017)2089–2097
[26] Song Zhu, Mouquan Shen, Cheng-Chew Lim, Robust input-to-state stability of neural networks with Markovian switching in presence of random disturbances or time delays. Neurocomputing 249(2017)245-252
[25] Dan Liu, Song Zhu, Wenting Chang, Mean square exponential input-to-state stability of stochastic memristive complex-valued neural networks with time varying delay. International Journal of Systems Science 48,9(2017)1966-1977
[24] Dan Liu, Song Zhu, Wenting Chang, Input-to-state stability of memristor-based complex valued neural networks with time delays. Neurocomputing 221 (2017) 159–167
[23] Qiqi Yang, Song Zhu, Weiwei Luo. Noise expresses exponential decay for globally exponentially stable nonlinear time delay systems. Journal of the Franklin Institute 353(2016)2074–2086
[22] Jinyu Li, Xingtong Chen, Song Zhu, Smoothed empirical likelihood for GARCH models with heavy-tailed errors. Communications in Statistics - Theory and Methods 45(2016)7275–7293
[21] Song Zhu, Qiqi Yang, Yi Shen. Noise further expresses exponential decay for globally exponentially stable time-varying delayed neural networks. Neural Networks 77 (2016) 7–13
[20] Kai Zhong, Song Zhu, Qiqi Yang. Further results for global exponential stability of stochastic memoristor-based neural networks with time-varying delays. International Journal of Systems Science. 47,15(2016)3573-3580
[19] Yong Xu, Weiwei Luo, Kai Zhong，Song Zhu. Mean square input-to-state stability of a general class of stochastic recurrent neural networks with Markovian switching. Neural Computing and Applications 25(2014)1657—1663
[18] Song Zhu, Kai Zhong, Yi Shen. Robustness analysis for parameter matrices of global exponential stability time varying delay systems. Applied Mathematics and Computation 237 (2014) 386–395
[17] Weiwei Luo, Kai Zhong，Song Zhu, Yi Shen. Further results on robustness analysis of global exponential stability of recurrent neural networks with time delays and random disturbances. Neural Networks 53 (2014) 127–133
[16] Song Zhu, Weiwei Luo, Jinyu Li, Yi Shen. Robustness of globally exponential stability of delayed neural networks in the presence of random disturbances. Neural Computing and Applications 25 (2014) 743–749
[15]Song Zhu, Weiwei Luo, Yi Shen. Robustness analysis for connection weight matrices of global exponential stability of stochastic delayed recurrent neural networks. Circuits, Systems & Signal Processing. 33(2014) 2065-2083
[14] Song Zhu, Kai Zhong, Yufeng Zhang. Robustness analysis for parameter matrices of global exponential stable stochastic time varying delay systems. Communications in Nonlinear Science and Numerical Simulation19 (2014) 128–138
[13] Song Zhu, Yi Shen. Robustness analysis for connection weight matrices of global exponential stability of stochastic recurrent neural networks. Neural Networks 38 (2013) 17-22
[12] Song Zhu, Yi Shen. Robustness analysis for connection weight matrix of global exponential stability recurrent neural networks. Neurocomputing 101 (2013) 370-374
[11] Song Zhu, Yi Shen. Two algebraic criteria for input-to-state stability of recurrent neural networks with time-varying delays. Neural Computing and Applications 22 (2013) 1163–1169
[10]Song Zhu, Yi Shen. Robustness analysis for connection weight matrices of global exponential stable time varying delayed recurrent neural networks. Neurocomputing 113 (2013) 220–226
[9] Song Zhu, Yi Shen. Robustness analysis of global exponential stability of neural networks with Markovian switching in the presence of time-varying delays or noises. Neural Computing and Applications 23 (2013)1563–1571
[8] Song Zhu, Yi Shen, Guici Chen. Noise suppress exponential growth for hybrid Hopfield neural networks. Mathematics and Computers in Simulation 86 (2012)10–20
[7] Song Zhu, Yi Shen. Passivity analysis of stochastic delayed neural networks with Markovian switching. Neurocomputing 74 (2011) 1754-1761
[6]Guici Chen, Yi Shen, Song Zhu. Non-fragile observer-based H ∞ control for neutral stochastic hybrid systems with time-varying delay. Neural Computing and Applications 20 (2011) 1149-1158
[5] Song Zhu, Yi Shen, Guici Chen. Exponential passivity of neural networks with time-varying delay and uncertainty. Physics Letters A 375 (2010) 136-142
[4] Song Zhu, Yi Shen, Guici Chen. Noise suppress or express exponential growth for hybrid Hopfield neural networks. Physics Letters A 374 (2010) 2035-2043
[3] Song Zhu, Yi Shen, Lei Liu. Exponential stability of uncertain stochastic neural networks with Markovian switching. Neural Processing Letters 32 (2010) 293-309
[2] Song Zhu, Yi Shen, Guici Chen. Robust stability of stochastic neural networks with interval discrete and distributed delays, Lecture Notes in Computer Science, 5863 (2009) 259-266
[1]王红卫, 祁超, 魏永长，李彬，朱松. 基于数据的决策方法综述,自动化学报,35 (2009) 819–832
教学论文：
[3] 朱松，《抽样调查》课程教学能力提升探索，教育现代化 52（2018）90-91
[2] 朱松，SPSS软件在《抽样调查》课程中的实践应用，教育教学论坛 22（2019）185-186
[1] 朱松，基于Matlab的线性代数教学改革的探索，科学时代23（2014）723-724

出版专著和教材
随机回归神经网络动力学研究，中国矿业大学出版社，朱松 著，2018.11

教学活动
研究生课程：高等数理统计，数理统计，应用数理统计
本科生课程：概率论与数理统计，线性代数，统计学原理，抽样技术

指导学生情况
本科生
2013.09-2015.01 杨超，指导其参加省级大学生创新项目1项，本科期间发表EI论文1篇，本科生国家奖学金获得者，武汉大学测绘学院攻读硕士学位。
硕士研究生
2012.09-2015.06 罗威威，第一作者发表SCI论文1篇（TOP期刊1篇），研究生国家奖学金获得者，校优秀毕业生，三好学生，优秀毕业论文获得者，哈尔滨工业大学航天学院博士，现就职于中国矿业大学。
2013.09-2016.06 钟凯，第一作者发表SCI论文2篇，优秀创新硕士奖学金获得者，校优秀毕业生，三好学生，优秀毕业论文获得者，大连理工大学控制科学与工程学院博士，现就职于安徽大学。
2014.09-2017.06 杨淇淇，第一作者发表SCI论文1篇，研究生国家奖学金获得者，三好学生。就职于中国人民银行贵阳支行。
2015.09-2018.06 刘丹，第一作者发表SCI论文8篇（TOP期刊3篇），2019年江苏省优秀硕士学位论文获得者，国家奖学金获得者， 优秀创新硕士奖学金获得者，东北大学信息科学与工程学院攻读博士学位。
常文婷，第一作者发表SCI论文1篇，就职于中国工商银行聊城支行。
2016.09-2019.06 孙凯丽， 第一作者发表SCI论文2篇，就职于安徽省选调生。
2017.09-2020.06 陈重阳，第一作者发表SCI论文3篇（TOP期刊3篇），获国家奖学金等多项荣誉，华中科技大学人工智能与自动化学院攻读博士学位。
徐玮，第一作者发表SCI论文2篇，就职于徐工集团。
2018.09-2021.06 高宇，第一作者已发表SCI论文2篇(TOP期刊1篇)，投稿SCI论文2篇，哈尔滨工业大学（威海）数学系攻读博士学位。
于婷，第一作者投稿SCI论文1篇。
吕蕴珠，第一作者投稿SCI论文1篇。
陈睿涵，第一作者已发表SCI论文1篇（TOP期刊），投稿SCI论文2篇，国家奖学金获得者。
2019.09-2022.06 邓琨，第一作者已发表SCI论文1篇（TOP期刊），投稿SCI论文1篇。
沈元初，第一作者已发表SCI论文1篇，投稿SCI论文2篇。
张佳慧,第一作者已发表SCI论文1篇， 投稿SCI论文1篇。
2020.09-2023.06 王朝，郭茉璇，梁思琛
2021.09-2024.06 许振钰
博士研究生
2020.09-2024.06 王玉春（副导师）
2021.09-2025.06 陈悦

我的团队
导师：朱松教授，孙永征教授，杨春雨教授，王敏副教授，祁永强副教授，褚菲副教授，代伟副教授，李俊领讲师，罗威威讲师
学生：高宇，于婷，吕蕴珠，陈睿涵，邓琨，沈元初，张佳慧，王朝，郭茉璇，梁思琛，许振钰等
联系方式 Email: songzhu82@gmail.com, songzhu@cumt.edu.cn, Tel: **