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张国山

发布时间: 2016-10-12     来源:

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 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

(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(60674019), (61074088), (61473202).

(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 AutoSegmentation Algorithm for MultiLabel 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,·Zhang Guoshan, Liu Wanquan. A new method for the selection of distribution centre locations. IMA Journal 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 and Zhang 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 and Zhang 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 and Zhang 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 Guoshan and 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 Guoshan and 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 and Zhang 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 and Zhang, 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 and Zhang Guoshan. A Seismic Blind Deconvolution Algorithm Based on Bayesian Compressive Sensing. Mathematical Problems in Engineering, Vol. 2015, 2015.

[21] Li Xiaosheng and Zhang 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 Guoshan and 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 Guoshan and Ma Kai. Real-Time Pricing-Based Scheduling Strategy in Smart Grids: A Hierarchical Game Approach. Journal of Applied Mathematics, 329656, 2014.

[25]Zhou Lei and Zhang Guoshan and 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 and Zhang 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 Guoshan and 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 and Zhang 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 Guoshan and 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,Guoshan Liu 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 Guoshan and 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 Guoshan and 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): 0203004-1-0203004-9 , 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, 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(截止20191)

欢迎优秀自动化专业、数学专业学生攻读硕士、博士学位 

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