个人资料：

姓名：张国山
职称：教授/博士生导师
学科专业：控制科学与工程/控制理论与控制工程
通讯地址：天津市南开区卫津路92号天津大学电气自动化与信息工程学院(邮编：300072)
电子信箱：zhanggs@tju.edu.cn; zh_gs@sina.com (备用)
主要经历：
(1) 2002.08--至今 天津大学电气自动化与信息工程学院，控制理论与控制工程专业，教授，博士生导师(2007.01)
(2) 2009.08-2009.11访问澳大利亚科廷大学
(3) 1992.03-1996.06东北大学自动化研究中心博士生，获工学博士学位
(4) 1986.09-1989.01东北工学院数学系研究生，获理学硕士学位
(5) 1979.09-1983.07东北师范大学数学系学习，获理学学士学位

主要研究方向：
(1) 非线性系统控制
包括基于数据的非线性系统控制、混沌控制与应用等
(2) 智能控制与工程应用
常用工具：模糊控制、神经网络控制、遗传算法、LS-SVM等
(3) 模式识别、图像处理与三维重建
基于深度图像的三维重建(SLAM,深度学习)
主要科研项目：
(1) 已完成国家自然科学基金三项(**), (**), (**).
(2) 近五年与北京、上海、天津企业合作，承担电子与自动化相关企业课题多项。
代表性论著、学术著作：
发表SCI,EI检索论文100余篇，代表性论文如下：
[1] Ma, Ruizi;Zhang, Guoshan. Sliding mode tracking control with differential evolution optimisation algorithm using integral-chain differentiator in uncertain nonlinear systems.International Journal of Systems Science, Vol.49(6): 1345-1352, 2018.
[2] Ma Ruizi,Zhang Guoshan, Krause Olav. Fast terminal sliding-mode finite-time tracking control with differential evolution optimization algorithm using integral chain differentiator in uncertain nonlinear systems.International Journal of Robust and Nonlinear Control, Vol.28(2): 625-639, 2018.
[3] Li Shanshan,Zhang Guoshan, Wang Jiang, Chen Yingyuan, Deng Bin.Emergent central pattern generator behavior in chemical coupled two-compartment models with time delay.Physica A:Statistical Mechanics and its Applications.Vol.491: 177-187. 2018.
[4] Li Shanshan, Zhang Guoshan, Wang Jiang, Deng Bin.Firing regularity control of single neuron based on closed-loop ISI clamp.Neurocomputing,. Vol.275: 568-576. 2018.
[5] Zhang Guoshan, Yu Peizhao. Lyapunov method for stability of descriptor second-order and high-order systems.Journal of Industrial and Management Optimization, Vol.14(2): 673-686, 2018.
[6]Huang Weijie, Zhang Guoshan. GPU-based multilayer invariant EKF for camera localization.Computers & Graphics,Vol:79:29-36. 2018-11.
[7] Qi Yali, Zhang Guoshan, Li Yeli. An Auto？Segmentation Algorithm for Multi？Label Image Based on Graph Cut.Sensing and Imaging,19:13. 2018
[8] Ma Ruizi, Zhang Guoshan.Iterative learning tracking control for a class of MIMO nonlinear time-varying systems.International Journal of Modelling, Identification and Control, Vol .27(4): 1132-1137, 2017.
[9] Zhou Lei,·ZhangGuoshan, Liu Wanquan.A new method for the selection of distribution centre locations.IMAJournal of Management Mathematics, Vol.28(3): 421–436, 2017.
[10] Liu Yang;Zhang Guoshan; Xu, Bingyin. Compressive sparse principal component analysis for process supervisory monitoring and fault detection.Journal of Process Control,Vol.50:1-10, 2017.
[11] Yu Peizhao andZhang Guoshan. Eigenstructure assignment and impulse elimination for singular second-order system via feedback control.IET Control Theory and Applications,Vol.10, 869-876, 2016.
[12] Qi Yali andZhang Guoshan. Strategy of active learning support vector machine for image retrieval.IET Computer Vision,Vol.10, 87-94, 2016.
[13] Huang Weijie,Zhang Guoshan. Improvement of the exemplar-based inpainting.Journal Electronic Imaging,Vol.25(5), 053038, Sep 2016.
[14] Ma Ruizi andZhang Guoshan. Output tracking control of pH neutralisation with iterative feedback tuning.International Journal of Modelling, Identification and Control,Vol.25, 62-70, 2016.
[15] Yang Jie,Zhang Guoshanand Ma, Kai. Hierarchical dispatch using two-stage optimisation for electricity markets in smart grid.International Journal of Systems Science,Vol.47, 3529-3536, 2016.
[16] Yang Jie,Zhang Guoshanand Ma Kai. A nonlinear control method for price-based demand response program in smart grid.International Journal of Electrical Power & Energy Systems,Vol.74, 322-328, 2016.
[17] Liu Yang andZhang Guoshan. Scale-sifting multiscale nonlinear process quality monitoring and fault detection.Canadian Journal of Chemical Engineering,Vol.93, 1416-1425, 2015.
[18] Yan, Zhiguo,Zhang, Guoshan, Wang, Jiankui and Zhang, Weihai. State and output feedback finite-time guaranteed cost control of linear Ito stochastic systems.Journal of Systems Science and Complexity,Vol.28, 813-829, 2015.
[19] Yan, Zhiguo, Zhang, Weihai andZhang, Guoshan. Finite-Time Stability and Stabilization of Ito Stochastic Systems with Markovian Switching: Mode-Dependent Parameter Approach.IEEE Transactions on Automatic Control,Vol.60(9): 2428-2433, 2015.
[20] Li Yanqin andZhang Guoshan. A Seismic Blind Deconvolution Algorithm Based on Bayesian Compressive Sensing.Mathematical Problems in Engineering,Vol.2015, 2015.
[21] Li Xiaosheng andZhang Guoshan. Minimum penalty for constrained evolutionary optimization.Computational Optimization and Application. Vol.60:513-544,2015.
[22]Zhang Guoshan, Wang shiwei, Wang Yiming and Liu Wanquan. LS-SVM approximate solution for affine nonlinear systems with partially unknown functions.Journal of Industrial and Management Optimization,Vol.10(2):621-636,2014.
[23]Yang Jie,Zhang Guoshanand Ma Kai. Matching supply with demand: A power control and real time pricing approach.International Journal of Electrical Power & Energy Systems, Vol.61: 111-117, 2014.
[24]Yang Jie,Zhang Guoshanand Ma Kai. Real-Time Pricing-Based Scheduling Strategy in Smart Grids: A Hierarchical Game Approach.Journal of Applied Mathematics, 329656, 2014.
[25]Zhou Lei andZhang Guoshanand Li Fachao. A Synthesizing Effect-Based Solution Method for Stochastic Rough Multi-objective Programming Problems.International Journal of Computational Intelligence Systems, vol.7(4): 696-705, 2014.
[26]Li Yanqin andZhang Guoshan. Blind seismic deconvolution using variational Bayesian method.Journal of Applied Geophysics, vol.110: 82-89, 2014.
[27]Zhiguo Yan,Guoshan Zhang, Weihai Zhang. Finite-time stability and stabilization of linear it？stochastic systems with state and control-dependent noise.Asian Journal of Control, vol.15(1): 270-281, 2013.
[28]Yan Zhiguo,Zhang Guoshanand Wang Jiankui, Non-fragile robust finite-time H∞ control for nonlinear stochastic It？systems using neural network,International Journal of Control, Automation and Systems, 10(5):873-882, 2012.
[29]Zhang Hongmei andZhang Guoshan. Adaptive backstepping sliding mode control for nonlinear systems with input saturation.Transactions of Tianjin University, 18(1):46-51, 2012.
[30]Yan Zhiguo,Zhang Guoshanand Wang Jiankui, Infinite horizon H2/H∞ control for descriptor systems: Nash Game Approach,Journal of Control Theory and Application, 10(2): 159-165, 2012.
[31]Zhang,GuoshanLiu Lei and Liu Wanquan. Linear quadratic optimal control based on dynamic compensation.International Journal of Innovative Computing, Information and Control, 8(5(B)): 3743–3754, 2012.
[32]Zhang Guoshanand Liu Wanquan. Impulsive mode elimination for descriptor systems by a structured P-D feedback.IEEE Transactions on Automatic Control, 56(12): 2968-2973, 2011.
[33]Zhang Guoshanand Liu Lei. Linear quadratic optimal control based on dynamic compensation for rectangular descriptor systems.Acta Automatica Sinica, 36(12): 1752-1757, 2010.
[34]黄伟杰，张国山.基于快速不变卡尔曼滤波的视觉惯性里程计。控制与决策，DOI: 10.13195/j.kzyjc.2018.0239.2018
[35]张国山,张培崇,王欣博.基于多层次特征差异图的视觉场景识别.红外与激光工程, Vol.47(2): **-1-**-9 , 2018.
[36]贾美美,张国山.电压控制型Buck变换器的混沌控制.电子科技大学学报, Vol.45 (2) :208-214, 2016.
[37]张国山,尚红霞;王欣博.陀螺仪在基于Hash结构的三维重建中的应用.天津大学学报(自然科学与工程技术版), 49 (11) :1132-1137, 2016.
[38]刘洋,张国山.基于敏感稀疏主元分析的化工过程监测与故障诊断.控制与决策31 (7) :1213-1218, 2016.
[39]张国山,王岩浩.基于数据的一类部分未知仿射非线性系统近似解.自动化学报, 41 (10) :1745-1753, 2015.
[40]张国山,李思瑶,王江.基于自抗扰控制的2个耦合神经元间的混沌同步.天津大学学报(自然科学与工程技术版), 2013(3) :263-268, 2013.
[41]贾美美，张国山，牛弘.基于改善关联性Buck变换器的混沌控制.物理学报, vol.62(13): 130503, 2013.
[42]牛弘，张国山.一类具有可变系数的混沌系统的同步.物理学报, vol.62(13): 130502, 2013.
[43]张国山,牛弘.一个基于Chen系统的新混沌系统的分析与同步.物理学报, vol.61(11): 110503(1-11), 2012.
[44]王淑平,张国山.基于PI控制器的线性系统的鲁棒耗散控制.控制与决策, 27 (8) :1139-1144, 2012.
[45]张红梅,张国山.求解高超声速飞行器平衡状态的GA-SQP算法.航空学报, 33 (1) :138-146, 2012.
[46]严志国,张国山.一类非线性随机不确定系统有限时间H_∞滤波.控制与决策, 27 (3): 419-424, 2012.
[47]严志国,张国山.线性随机系统有限时间H_∞控制.控制与决策, vol.26 (8) :1224-1228, 2011
[48]张国山.基于分散动态补偿的矩形广义系统的正则化与镇定.控制理论与应用, vol.25 (2):210-216, 2008.
[49]黄彧伟,张国山.受扰动2-D线性时变系统的迭代学习控制.控制理论与应用, 24 (6): 999-1004, 2007.
[50]张国山,刘晓红.不稳定和积分时滞过程的Smith预估器设计.天津大学学报:自然科学与工程技术版, 40 (1) :104-109, 2007.
[51]张国山.基于动态补偿的广义系统的正则化与极点配置.控制与决策, 21 (1) :51-55, 2006.
[52]张国山,柴天佑.,顾兴源.使用多控制器结构的可靠镇定.自动化学报, vol.24 (4) :552-556, 1998.
[53]张国山,谢绪恺.广义分散控制系统的DR—能控性.控制理论与应用, 12(6) :704-711, 1995.

主要讲授课程：
(1) 自动控制理论（本科生）
(2) 最优控制理论与应用（本科生）
(3) 线性控制系统（硕士生）
其他（社会兼职等）：
国家自然科学基金委、教育部及多个省市基金与奖项评审专家，中国自动化学会数据驱动控制、学习与优化专业委员会委员，期刊《控制与决策》(EI)、《控制与信息技术》、《动力系统与控制》，Mathematical Foundations of Computing(ESCI)编委(AE).
2003年以后，已在天津大学培养研究生100人，其中毕业博士15人，统招硕士60余人，在职硕士20余人。目前在读硕士生10人，博士生8人(截止2019年1月)
欢迎优秀自动化专业、数学专业学生攻读硕士、博士学位