姓名： 杨鑫松
教授、硕导、博导
专业：通信与信息系统
方向：复杂网络、神经网络、同步、脉冲系统、控制
Email:xinsongyang@163.com
电话：**
地址：成都市武侯区一环路南一段24号川大电子信息学院
邮编：610065
学习和工作简历
男，1968年生，2006年毕业于云南大学，获理学硕士学位，民盟盟员，2011年破格教授，科睿唯安全球高被引科学家，2019年SCI杂志J. Franklin Instit.杰出审稿人，访问过东南大学、香港城市大学、香港大学、香港理工大学，美国数学评论的评论员，SCI杂志Neural Processing Letters的编辑，全国复杂网络会议专业委员会委员。目前发表科研论文100多篇，总共被SCI源刊引用4700多次，发表的杂志包括SIAM J. Control and Optimization,IEEE Trans. Neural Networks and Learning Systems,IEEE Trans. Circuits and Systems –I,IEEE Trans. Fuzzy Systems,IEEE Trans. Automatic Control，IEEE Trans. Cybernetics等国际顶级杂志。
主要经历
1989.09---1992.07 湖南怀化师专数学专业
2003.09---2006.07 云南基础数学专业，获理学硕士学位
2006.08---2012.06 云南红河学院数学系，助教，讲师，副教授，教授
2012.07---2020.06 重庆师范大学数学学院，教授
2008.09---2009.06 东南大学数学系，访问****
2014.07---2014.08 访问香港城市大学数学系，高级访问****
2015.08---2015.09 访问香港大学机械工程系，高级访问****
2016.01---2016.01 访问香港城市大学数学系，高级访问****
2016.07---2016.07 访问香港理工大学数学系，高级访问****
科研项目与获奖
一.科研项目
1.云南省教育厅科学基金项目《几类时滞微分方程的周期解研究》
2.国家自然科学基金项目（**）右端不连续复杂网络的同步与控制(2013--2016)，44万，主持
3.国家自然科学基金面上项目（**）：状态耦合时滞网络的建模与有限时间控制(2017--2020)，直接经费62万，主持。
4.重庆市基础研究与前沿探索项目（cstc2018jcyjAX0369）:移动网络在时滞和不确定干扰影响下的有限时间同步与控制（2018--2021），10万，主持。
二、获奖
1.2016年《脉冲耦合网络趋同行为的理论与方法》获江苏省科学技术奖二等奖
2.论文《在马尔科夫切换拓扑和脉冲影响下的耦合网络的有限时间同步》、《时滞忆阻神经网络的指数同步：区间矩阵方法》、《量化间歇牵制控制下网络的有限时间同步》分别被评为重庆市2017、2018、2019年“自然科学优秀学术论文”。
论文、专著与专利(*为通讯作者)
[1]Xinsong Yang, Jinde Cao*, Stochastic synchronization of coupled neural networks with intermittent control, Physics Letters A, 373 (36) (2009) 3259-3272.
[2]Xinsong Yang*, Xiangzho Cui, Yao Long, Existence and global exponential stability of periodic solution of a cellular neural networks difference equation with delays and impulses, Neural Networks, 22 (2009) 970-976.
[3]Xinsong Yang*, Existence and global exponential stability of periodic solution for Cohen–Grossberg shunting inhibitory cellular neural networks with delays and impulses, Neurocomputing, 72 (2009) 2219-2226.
[4]Xinsong Yang*, Yao long, Xiangzhao, Cui, Existence of periodic solution for cellular neural networks difference equation with complex deviating arguments and impulses, J. Franklin Institute, 347 (2010) 559-566.
[5]Xinsong Yang, Jinde Cao*, Finite-time stochastic synchronization of complex networks, Applied Mathematical modelling, 34 (2010) 3631-3641.
[6]Xinsong Yang*, Jinde Cao, Yao Long, Weiguo Rui, Adaptive lag synchronization for competitive neural networks with mixed delays and uncertain hybrid perturbations, IEEE Trans. Neural Networks, 21(10) (2010) 1656-1667.
[7]Xinsong Yang*, Chuangxia Huang, Quanxin Zhu, Synchronization of switched neural networks with mixed delays via impulsive control, Chaos, solitons & Fractals, 44(10)(2011) 817-826.
[8]Xinsong Yang*, Quanxin Zhu, Chuangxia Huang, Lag stochastic synchronization of chaotic mixed time-delayed neural networks with uncertain parameters or perturbations. Neurocomputing 74(2011)1617-1625.
[9]Xinsong Yang*, Quanxin Zhu, Chuangxia Huang, Generalized lag-synchronization of chaotic mix-delayed systems with uncertain parameters and unknown perturbations, Nonlinear Analysis-B, RWA, 12 (2011)93-105.
[10]Xinsong Yang*, Jinde Cao, Jianquan Lu, Synchronization of delayed complex dynamical networks with impulsive and stochastic effects, Nonlinear Analysis-B, RWA, 12(2011)2252-2266.
[11]Xinsong Yang, Jinde Cao*, Adaptive pinning synchronization of coupled neural networks with mixed delays and vector-form stochastic perturbations, Acta Math. Scientia, 32 (B) (3) (2012) 955—977.
[12] Xinsong Yang*, Jinde Cao, Jianquan Lu, Synchronization of Markovian Coupled Neural Networks with Nonidentical Node-Delays and Random Coupling Strengths, IEEE Trans. Neural Networks Learn. Syst., 23(1)(2012) 60-71.
[13]Xinsong Yang*, Jinde Cao, Jianquan Lu, Stochastic synchronization of complex networks with nonidentical nodes via hybrid adaptive and impulsive control, IEEE Trans. Circ. Syst. I, Regular Paper, 59(2)(2012)371-384.
[14]Xinsong Yang, Jinde Cao*, Jianquan Lu, Synchronization of randomly coupled neural networks with Markovian jumping and time-delay, IEEE Trans. Circuits Syst. I, Regular Paper, 60(2)(2013)363-376.
[15]Xinsong Yang*, Jinde cao, Jianquan Lu, Synchronization of coupled neural networks with random coupling strengths and mixed probabilistic time-varying delays, Int. J. Robust and Nonlinear Control. 23(18) (2013) 2060-2081
[16]Xinsong Yang*, Jinde cao, Exponential synchronization of delayed neural networks with discontinuous activations, IEEE Trans. Circuits and Systems -I, 60 (9) (2013) 2431-2439.
[17]Xinsong Yang*, Zhiyou Wu, Jinde Cao, Finite-time synchronization of complex networks with nonidentical discontinuous nodes, Nonlinear Dynamics,73(4) (2013) 2313-2327.
[18]Xinsong Yang, Jinde Cao*, Zhichun Yang, Synchronization of coupled reaction-diffusion neural networks with time-varying delays via pinning-impulsive controller, SIAM J. Control and Optimization, 51 (5) (2013) 3486-3510
[19]Xinsong Yang*, Jinde Cao, Hybrid adaptive and impulsive synchronization of uncertain complex networks with delays and general uncertain perturbations, Applied Mathematics and Computation, 227 (15) (2014) 480-493.
[20]Xinsong Yang*, Zhichun Yang, Synchronization of TS fuzzy complex dynamical networks with time-varying impulsive delays and stochastic effects, Fuzzy Sets and Systems, 235 (16) (2014) 25-43.
[21]Xinsong Yang*, Zhichun Yang, Xiaobing Nie, Exponential synchronization of discontinuous chaotic systems via delayed impulsive control and its application to secure communication, Commun Nonlinear Sci Numer Simulat,19 (2014) 1529-1543.
[23]Xinsong Yang, Jinde Cao*, Wenwu Yu, Exponential synchronization of memristive Cohen-Grossberg neural networks with mixed delays, Cognitive Neurodynamics, 8(3)(2014)239-249.
[24]Xinsong Yang*, Can neural networks with arbitrary delays be finite-timely synchronized?, Neurocomputing, 143 (16) (2014) 275-281.
[25]Xinsong Yang*, Jinde Cao, Daniel W.C. Ho, Exponential synchronization of discontinuous neural networks with time-varying mixed delays via state feedback and impulsive control, Cognitive Neurodynamics, 9 (2) (2014) 113-128.
[26] Enli Wu,Xinsong Yang*, Generalized lag synchronization of neural networks with discontinuous activations and bounded perturbations, Circuits, Systems & Signal Processing, 34 (7)(2015) 2381-2394.
[27]Xinsong Yang*, Jinde Cao, Jianlong Qiu, pth moment exponential stochastic synchronization of coupled memristor-based neural networks with mixed delays via delayed impulsive control, Neural Networks, 65 (2015) 80-91.
[28]Xinsong Yang*, Qiang Song, Jinling Liang, Bin He, Finite-time synchronization of coupled discontinuous neural networks with mixed delays and nonidentical perturbations, J. Franklin Institute, 352 (10)(2015)4382-4406.
[29]Xinsong Yang*, Daniel W. C. Ho, Jianquan Lu, Qiang Song, Finite-time cluster synchronization of T-S fuzzy complex networks with discontinuous subsystems and random coupling delays, IEEE Trans. Fuzzy Systems, 23(6)(2015)2302-2316.
[30] Lei Shi,Xinsong Yang*, Yingchun Li, Zuzhen Feng, Finite-time synchronization of nonidentical chaotic systems with multiple time-varying delays and bounded perturbations, Nonlinear Dynamics, 83 (1-2) (2016) 75-87.
[31]Xinsong Yang*, Jianquan Lu, Finite-time Synchronization of coupled networks with Markovian topology and impulsive effects, IEEE Trans. Automatic Control, 61 (8) (2016) 2256-2261.
[32] Enli Wu,Xinsong Yang*, Adaptive synchronization of coupled nonidentical chaotic systems with complex variables and stochastic perturbations, Nonlinear Dynamics, 84 (1) (2016) 261-269.
[33]Xinsong Yang*, Daniel W. C. Ho, Synchronization of delayed memristive neural networks: Robust analysis approach, IEEE Trans. Cybernetics, 46 (12) (2016) 3377-3387.
[34] Yingchun Li,Xinsong Yang*, Lei Shi, Finite-time synchronization for competitive neural networks with mixed delays and nonidentical perturbations, Neurocomputing,85 (2016) 242-253
[35] Tingting Su,Xinsong Yang*, Finite-time synchronization of competitive neural networks with mixed delays, Discrete and Continuous Dynamical System -B, 21 (10)(2016) 3655--3667.
[36]Xinsong Yang, Jinde Cao*, Synchronization of complex networks with coupling delay via pinning control, IMA J. Mathematical Control and Information, 34(2) (2017)579-596.
[37]Xinsong Yang*, Jinde Cao, Qiang Song, Cheng Xu, Jianwen Feng, Finite-time synchronization of coupled Markovian discontinuous neural networks with mixed delays, Circuits, Systems & Signal Processing, 36 (5) (2017) 1860-1889.
[38]Xinsong Yang*, Jinde Cao, Jinling Liang, Exponential synchronization of memristive neural networks with delays: Interval matrix method, IEEE Trans. Neural Networks and Learning Systems.28 (8)(2017)1878--1888.
[39]Xinsong Yang*, Zhiguo Feng, Jianwen Feng, Jinde Cao, Synchronization of discrete-time neural networks with delays and Markov jump topologies based on tracker information, Neural Networks, 85 (2017) 157-164
[40] Chao Zhou, Wanli Zhang,Xinsong Yang*, Chen Xu, and Jianwen Feng, Finite-time synchronization of complex-valued neural networks with mixed delays and uncertain perturbations, Neural Processing Letters,46 (2017) 271-291.
[41] Lan Zhang,Xinsong Yang*, Chen Xu, Jianwen Feng, Exponential synchronization of complex-valued complex networks with time-varying delays and stochastic perturbations via time-delayed impulsive control, Applied Mathematics and Computation, 306 (2017) 22-30.
[42]Xinsong Yang*, James Lam, Daniel W. C. Ho, Zhiguo Feng, Fixed-time synchronization of complex networks with impulsive effects via non-chattering control, IEEE Transactions on Automatic Control, full paper, 62(11)(2017)5511-5521.
[43]Xinsong Yang*, Jinde Cao, Chen Xu, Jianwen Feng, Finite-time stabilization of switched dynamical networks with quantized couplings via quantized controller, Science China Technological Sciences, 61(2)(2018)299-308.1.719
[44] Chen Xu,Xinsong Yang*, Jianquan Lu, Jianwen Feng, Fuad E. Alsaadi, and Tasawar Hayat, Finite-time synchronization of networks via quantized intermittent pinning control, IEEE Trans. Cybernetics, 48(10)(2018)3021-3027.
[45] Yu Zhang, Zhi Guo Feng,Xinsong Yang*, Fuad E. Alsaadi, Bashir Ahmad, Finite-time stabilization for a class of nonlinear systems via optimal control, Mathematics and Computers in Simulation, 146 (2018) 14-26.
[46] Rongqiang Tang,Xinsong Yang*, Chen Xu, Jianwen Feng, Fuad E. Alsaadi, Tasawar Hayat, Fixed-time synchronization of four-dimensional energy resource systems with mismatched parameters, J. Applied Mathematics and Computing, 58 (2018) 289-304.
[47] Xusen Zhu,Xinsong Yang*, Fuad E. Alsaadi, Tasawar Hayat, Fixed-time synchronization of coupled discontinuous neural networks with nonidentical perturbations, Neural Processing Letters, 48(2)(2018)1161-1174.
[48]Xinsong Yang*, Chen Xu, Jianwen Feng, and Jianquan Lu, General synchronization criteria for nonlinear Markovian systems with random delays, J. Franklin Institute,355 (2018) 1394-1410.
[49]Xinsong Yang*, Jianquan Lu, Daniel W. C. Ho, Qiang Song, Synchronization of uncertain hybrid switching and impulsive complex networks, Applied Mathematical Modelling, 59 (2018) 379-392.
[50] Yujiao Liu, Xiaoxiao Wan, Enli Wu,Xinsong Yang*, Fuad E. Alsaadi, Tasawar Hayat, Finite-time synchronization of Markovian neural networks with proportional delays and discontinuous activations, Nonlinear Analysis: Modeling and Control, 23(4)(2018)515-532.
[51] Yuming Feng, Xiaolin Xiong, Rongqiang Tang,Xinsong Yang*, Exponential synchronization of inertial neural networks with mixed delays via quantized pinning control, Neurocomputing,310(2018)165-171.
[52] Yuming Feng,Xinsong Yang*, Qiang Song, Jinde Cao, Synchronization of memristive neural networks with mixed delays via quantized intermittent control, Applied Mathematics and Computation, 339 (2018) 874-887.
[53] Enli Wu,Xinsong Yang*, Chen Xu, Fuad E. Alsaadi, Tasawar Hayat, Finite-time synchronization of complex-valued delayed neural networks with discontinuous activations, Asian Journal of Control, 20(6)(2018)2237-2247.
[54]Xinsong Yang*, Yuming Feng, Ka Fai Cedric Yiu, Qiang Song, Fuad E. Alsaadi, Synchronization of coupled neural networks with infinite-time distributed delays via quantized intermittent pinning control, Nonlinear Dynamics, 94(2018)2289-2303.
[55]Xinsong Yang*, Qiang Song, Jinde Cao, Jianquan Lu, Synchronization of coupled Markovian reaction-diffusion neural networks with proportional delays via quantized control, IEEE Trans. Neural Networks and Learning Systems, 3(3)(2019)951-958.
[56] Xiaolin Xiong, Rongqiang Tang,Xinsong Yang*, Finite-time synchronization of memristive neural networks with proportional delay, Neural Processing Letters, 50(2) (2019) 1139-1152.
[57] Rongqiang Tang,Xinsong Yang* Xiaoxiao Wan, Finite-time cluster synchronization for a class of fuzzy cellular neural networks via non-chattering quantized controllers, Neural Networks, 113 (2019) 79-90.
[58] Rongqiang Tang,Xinsong Yang*, Xiaoxiao Wan, Yi Zou, Zunshui Cheng, Habib M. Fardoun, Finite-time synchronization of nonidentical BAM discontinuous fuzzy neural networks with delays and impulsive effects via non-chattering quantized control, Commun Nonlinear Sci Numer Simulat, 79(2019) 104893.
[59] Xiaoxiao Wan,Xinsong Yang*, Rongqiang Tang, Zunshui Cheng, Habib M. Fardoun, Fuad E. Alsaadi, Exponential synchronization of semi-Markovian coupled neural networks with mixed delays via tracker information and quantized output controller, Neural Networks, 118(2019)321-331.
[60]Xinsong Yang*, Zunshui Cheng, Xiaodi Li, Tiedong Ma, Exponential synchronization of coupled neutral-type neural networks with mixed delays via quantized output control, J. Franklin Institute, 356(15)(2019)8138-8153.
[61] Zhengwen Tu,Xinsong Yang*, Liangwei Wang, Nan Ding, Stability and stabilization of quaternion-valued neural networks with uncertain time-delayed impulses: Direct quaternion method, Physica A, 535 (2019) 122358.
[62] Yi Zou,Xinsong Yang*, Rongqiang Tang, Zunshui Cheng, Finite-time quantized synchronization of coupled discontinuous competitive neural networks with proportional delay and impulsive effects, J. Franklin Institute, DOI: 10.1016/j.jfranklin.2019.05.17.
[63]Xinsong Yang*, Xiaodi Li, Jianquan Lu, Zunshui Cheng, Synchronization of time-delayed complex networks with switching topology via hybrid actuator fault and impulsive effects control, IEEE Trans. Cybernetics, 50(9)(2020)4043-4052.
[64] Xiaolin Xiong,Xinsong Yang*, Jinde Cao*, Rongqiang Tang, Finite-time control for a class of hybrid systems via quantized intermittent control, Science China: Information Science, 63(9)(2020)192201.
[65]Xinsong Yang, Yang Liu*, Jinde Cao, Leszek Rutkowski, Synchronization of coupled time-delay neural networks with mode-dependent average dwell time switching, IEEE Trans. Neural Networks and Learning Systems, DOI: 10.1109/TNNLS.2020.**.
[66] Dengguo Xu,Xinsong Yang*, Rongqiang Tang, Finite-time and fixed-time non-chattering control for inertial neural networks with discontinuous activations and proportional delay, Neural Processing Letters, 51 (2020) 2337-2353.
[67] Ya Zhou, Xiaoxiao Wa, Chuangxia Huang,Xinsong Yang*, Finite-time stochastic synchronization of dynamic networks with nonlinear coupling strength via quantized intermittent control, Applied Mathematics and Computation, DOI: 10.1016/j.amc.2020.125157.
[68] Zhengwen Tu, Dandan Wang,Xinsong Yang*, Jinde Cao, Lagrange stability of memristive quaternion-valued neural networks with neutral items, Neurocomputing, 399(2020)380-389.
[69] Yan Zhang, Yang Liu,Xinsong Yang*, Jianlong Qiu*, Velocity constraint on double-integrator dynamics subject to antagonistic information, IEEE Trans. Circuits and Systems II: Express Briefs, DOI: 10.1109/TCSII.2020.**.
[70]Xinsong Yang, Xiaoxiao Wan, Zunshui Cheng, Jinde Cao, Yang Liu*, and Leszek Rutkowski, Synchronization of switched discrete-time neural networks via quantized output control with actuator fault, IEEE Trans. Neural Networks and Learning Systems, DOI: 10.1109/TNNLS.2020.**.
[71] Yujiao Liu, Rongqiang Tang, Chao Zhou, Zhengrong Xiang,Xinsong Yang*, Event-triggered leader-following consensus of multiple mechanical systems with switched dynamics, Int. J.Systems Science, DOI: 10.1080/**.2020.**.

人才培养
主讲本科生课程：《数学分析》（一、二、三册），《实变函数》、《高等数学》（一、二册），《微积分》（一、二册），《线性代数》,《高等数学》（上、下册）；
主讲研究生课程：稳定性理论。
已培养硕士毕业14人，硕士在读6人，其中4人获重庆师范大学优秀硕士论文，4人获国家奖学金，1人获重庆市优秀硕士论文。
学术成果
(1)复杂网络的同步与控制：变时滞和甚至无穷分布时滞的复杂网络在状态反馈间歇控制和量化间歇牵制控制下的渐近同步和有限时间同步,不但节约通讯资源，而且解决了以往文献中无法实现无穷分布时滞的复杂网络在间歇控制下同步的问题；建立了有时滞的脉冲不等式使得连续系统和脉冲函数都可以有多个互不相同的时滞，当脉冲区间以及系统参数满足一定条件时，多时滞的脉冲系统就可以实现指数稳定。研究有时滞和随机干扰的复杂网络在脉冲干扰和脉冲控制下的同步；分别用代数不等式法、鲁棒分析法、区间矩阵法研究时滞忆阻神经网络的渐近同步和有限时间同步，极大地降低所得结果的保守性，首次发现忆阻神经网络的初值对同步的实现有非常重要的影响；详细分析了连续的Markov转移速率矩阵与离散的Markov转移概率矩阵之间的关系，研究各种时滞影响下的耦合神经网络在Markov切换拓扑情形的状态反馈控制和跟踪信号控制；即使脉冲影响对同步不利以及所有模态都是不同步的，在驻留时间限制下的切换复杂网络也能实现渐近同步。
(2)耦合系统的有限时间同步与控制：无时滞的复杂网络在有限的时间内实现同步，并且优化同步时间，首次实现无时滞的有非恒同节点的右端不连续混沌系统耦合的复杂网络的有限时间同步；首次实现了有无穷分布时滞的连续神经网络的有限时间同步，并给出设定时间与初值和时滞的定量关系。利用微分包含的不动点定理得到有无穷分布时滞的不连续激发函数的神经网络Filippov解的存在性，然后设计不连续控制器实现这类系统的有限时间同步；设计不连续的自适应控制器实现参数不匹配的不连续激发函数的神经网络的有限时间同步；建立了研究时滞系统有限时间同步和控制的理论和方法，进一步将上述方法推广应用到模糊细胞神经网络、随机干扰下的复杂网络，分别考虑量化控制、连续的状态反馈控制等；考虑同时含有连续和离散子系统的混杂系统，设计间歇量化控制器实现了这类混杂系统的有限时间同步,研究表明即使离散部分完全不控制也能实现有限时间同步，并且同步时间与系统的初值、连续系统和离散系统的演化区间长度以及控制增益有关；用统一的方法研究了Markov切换耦合网络在脉冲干扰和脉冲控制下的有限时间同步，在不引入任何不确定参数的情况下仅利用概率转移矩阵巧妙地处理了Markov链的不确定性的影响并确定唯一的同步时间。
学术任职
(1)SCI杂志Neural Processing Letters的编辑（AE），
(2)全国复杂网络会议专业委员会委员