个人简介
教育经历
1990.9-1994.7包头钢铁学院机电系工业电气自动化专业学士学位
1998.9-2001.7抚顺石油学院自动化系控制理论与控制工程专业硕士学位
2002.9-2006.6 东北大学 信息科学与工程学院 控制理论与控制工程专业 博士学位
工作经历
1994.7-1998.8抚顺钢厂锻压分厂助理工程师
2001.7-2007.3沈阳理工大学信息科学与工程学院讲师
2007.3-2009.12东北大学信息科学与工程学院副教授
2007.5-2010.7 东北大学 信息科学与工程学院 博士后
2010.1至今 东北大学 信息科学与工程学院 教授
2012.7至今 东北大学 信息科学与工程学院 教授，博士生导师
招收博士/硕士方向
欢迎自动化、控制理论、电气工程、应用数学等专业学生报考博士、硕士研究生。
学术成果
专著或教材
1.张化光,季策,王占山,(译著)，递归人工神经网络的定性分析和综合，北京：科学出版社，2004。
2.王占山，连续时间时滞递归神经网络的稳定性，沈阳：东北大学出版社，2007。
3. 王占山，复杂神经动力网络的稳定性和同步性，北京：科学出版社，2014。
4. 孙秋野，王占山，马大中，电力系统自动化，北京：人民邮电出版社，2014
5. 王占山，单麒赫，季策，编著，动力系统基础及其稳定特性分析，沈阳：东北大学出版社，2015.
6. 王占山，关焕新，编著, 智能控制及其在电力系统中的应用，沈阳：东北大学出版社，2015.
7. Zhanshan Wang, Zhenwei Liu, Chengde Zheng（王占山，刘振伟，郑成德）, Qualitative Analysis and Control of Complex Neural Networks with Delays(具有时滞的复杂神经网络的定性分析与控制),Science Press and Springer, 2015
8. 王占山，刘磊，复杂非线性系统的故障诊断与智能自适应容错控制，北京：科学出版社，2018
专利
1.中国科技发明专利，带死区的直流电机系统的自适应全状态约束控制方法,发明人排序1/6， ZL201410432782.6, 授权日期2017.4.5。
2.中国科技发明专利，基于自动寻优无模型控制器的变压电路控制系统及方法，发明人排序1/4， ZL201610168181.8，授权日期2018.06.26。
3.中国科技发明专利，基于多频段歪度分析的微网逆变器自适应故障诊断方法，发明人排序2/4(指导的研究生排第一)，ZL201510968650.X，2018.05.04。
4.中国科技发明专利，一种微电网故障诊断过程中的故障信号特征值提取方法，发明人排序2/6(指导的研究生排第一)，ZL201510868652.1，2018.05.04。
5.中国科技发明专利，一种基于改进OPA模型的电网连锁故障确定方法，发明人排序3/12,ZL201510214022.2，2017.12.1。
6.中国科技发明专利，一种智能微网的源-网-荷自动控制系统及控制方法，发明人排序7/9，ZL201310099733.0，2014.12.31。
获奖
1.面向节能的复杂配电网监测控制与故障诊断关键技术研发及应用，2010年国家科技进步奖二等奖，排名4/10.
2.非线性系统的神经网络自适应优化控制与性能分析，中国自动化学会自然科学一等奖，排序2/5
3.智能自适应控制与性能评估基础理论研究，2015年辽宁省自然科学奖一等奖，排序2/5。
4.非线性系统的鲁棒自适应控制理论及应用，2010年教育部自然科学奖一等奖，排名5/6，
5.复杂非线性系统的动态分析和智能控制理论及应用，2008年辽宁省自然科学奖一等奖，排序3/5。
6.分布交互式的复杂配电自动化网络智能分析技术和监测控制系统，2007年中国电子学会电子信息科学技术奖一等奖，排序4/10。
7.中国自动化学会优秀博士学位论文导师奖，2018。
8.全国百篇优秀博士学位论文提名奖，2009.
9.IEEE Transactions on Neural Networks, outstanding paper award,2012.IEEE Computational Intelligence Society.
联系方式
办公室：信息楼310
近期论文
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期刊论文
1.Wang Zhanshan, Liu Lei(博士生), Shan Qi-He, Zhang Huaguang,Stability Criteria for Recurrent Neural Networks With Time-Varying Delay Based on Secondary Delay Partitioning Method, IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, vol. 26, no. 10, pp. 2589-2595, OCT 2015.
2.Wang Zhanshan, Ding Sanbo(博士生),Shan Qihe, Zhang Huaguang,Stability of Recurrent Neural Networks With Time-Varying Delay via Flexible Terminal Method, IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, vol. 28, no. 10, pp. 2456-2463, OCT 2017.
3.Wang Zhanshan, Liu Lei(博士生), Wu Yanming, Zhang Huaguang,Optimal Fault-Tolerant Control for Discrete-Time Nonlinear Strict-Feedback Systems Based on Adaptive Critic Design, IEEE TANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, vol.29, no. 6. pp. 2179-2191, JUN 2018.
4.Wang Zhanshan, Huang Zhanjun(博士生), Song Chonghui, Zhang Huauang, Multiscale Adaptive Fault Diagnosis Based on Signal Symmetry Reconstitution Preprocessing for Microgrid Inverter Under Changing Load Condition, IEEE TRANSACTIONS ON SMART GRID, vol. 9, no. 2, pp. 797-806, MAR 2018.
5.Liu Lei(博士生),Wang Zhanshan, Zhang Huaguang, Neural-Network-Based Robust Optimal Tracking Control for MIMO Discrete-Time Systems With Unknown Uncertainty Using Adaptive Critic Design, IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, vol. 29, no. 4, pp. 1239-1251, APR 2018.
6.Huang Zhanjun(博士生),Wang Zhanshan, Liu Lei,A Practical Fault Diagnosis Algorithm Based on Aperiodic Corrected-Second Low-Frequency Processing for Microgrid Inverter,IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, vol. 15, no. 7, pp. 3889-3898, JUL 2019.
7.Ding Sanbo(博士生),Wang Zhanshan, Zhang Huaguang,Event-Triggered Stabilization of Neural Networks With Time-Varying Switching Gains and Input Saturation, IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, vol. 29, no. 10, pp. 5045-5056, OCT 2018.
8.Ding Sanbo(博士生),Wang Zhanshan, Zhang, Huaguang,Dissipativity Analysis for Stochastic Memristive Neural Networks With Time-Varying Delays: A Discrete-Time Case, IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, vol. 29, no. 3, pp. 618-630, MAR 2018.
9.Liu Lei(博士生),Wang Zhanshan, Zhang Huaguang,Adaptive Fault-Tolerant Tracking Control for MIMO Discrete-Time Systems via Reinforcement Learning Algorithm With Less Learning Parameters, IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING, vol. 14, no. 1, pp. 299-313, JAN 2017.
10.Rong Nannan(博士生),Wang Zhanshan, Zhang Huaguang,Finite-Time Stabilization forDiscontinuous Interconnected Delayed Systems via Interval Type-2 T-S Fuzzy Model Approach, IEEE TRANSACTIONS ON FUZZY SYSTEMS, vol. 27, no. 2, pp. 249-261, FEB 2019.
会议论文
1.Ding Sanbo(博士生), Wang Zhanshan,Ye Dan,Zhang Yingwei, Exponential State Estimation for Markovian Jumping Neural Networks with Discontinuous Activation Functions, 54th IEEE Conference on Decision and Control (CDC),Osaka, JAPAN, DEC 15-18, 2015.
2.Ding Sanbo(博士生), Zhao Linlin,Wang Zhanshan, Lagrange Stability for Memristor-Based Neural Networks with Time-Varying Delay via Matrix Measure, 12th International Symposium on Neural Networks (ISNN),Jeju, SOUTH KOREA, OCT 15-18, 2015.
3.Wu Yanming(博士生),Wang Zhanshan, Hui Guotao, Zhang Huaguang,Cluster cooperative output regulation of heterogeneous linear multi-agent systems with multiple leaders, International Joint Conference on Neural Networks (IJCNN), Vancouver, CANADA, JUL 24-29, 2016.
4.Rong Nannan(博士生),Wang Zhanshan, Zhang Huaguang,Fixed-Time Stabilization for Interconnected Systems with Discontinuous Interconnections and Nonidentical Perturbations, IEEE 7th Data Driven Control and Learning Systems Conference (DDCLS), Enshi, PEOPLES R CHINA, MAY 25-27, 2018.
5.Wang Zhanshan, Liu Pipi, Ding Sanbo, Liu Yingying,A brief review on stability analysis of time delay systems based on LKF, 13th World Congress on Intelligent Control and Automation (WCICA), Changsha, PEOPLES R CHINA,JUL 04-08, 2018.
6.Tang Li(博士生),Wang Zhanshan, Liu Lei,Fuzzy Based Optimal Fault Tolerant Control and Adaptive Critic Design for Strict Feedback Systems, 4th International Conference on Information, Cybernetics and Computational Social Systems (ICCSS), Dalian, PEOPLES R CHINA, JUL 24-26, 2017.
7.Quan Longhu(博士生),Wang Zhanshan, Liu Xiuchong,Sensorless Control of SPMSM using Complex Number Model based Position Estimation and EKF, 26th Chinese Control and Decision Conference (CCDC), Changsha, PEOPLES R CHINA,MAY 31-JUN 02, 2014.
8.Wang Zhanshan, Shen Zhengwei, Tian Mi,Shan qihe,A Review on Evolution of Lyapunov-Krasovskii Function in Stability Analysis of Recurrent Neural Networks with Single Time-varying Delay,International Joint Conference on Neural Networks (IJCNN),Beijing, PEOPLES R CHINA, JUL 06-11, 2014.
8.Wang Zhanshan, Zhang Enlin, Yun Kuo, Zhang Huaguang, Universal Analysis Method for Stability of Recurrent Neural Networks with Different Multiple Delays, Lecture Notes in Computer Science, vol 6675. pp.148-157, Springer, Berlin, Heidelberg, 2011.
9.Wang Zhanshan,Wang Jidong,Liu Zhenwei, Novel exponential stability of reaction-diffusion Cohen-Grossberg neural networks, Proceedings of the 9th IEEE International Conference on Cognitive Informatics, ICCI 2010, pp. 561-566,2010.
10.Liu Pipi(硕士生), Yao Xianshuang(博士生), Liu Yipeng, Wang Zhanshan,New Stability Criterion for Nonlinearly Perturbed Load Frequency Control Systems with Communication Delays, 8th IEEE Annual International Conference on Cyber Technology in Automation, Control, and Intelligent Systems (IEEE-CYBER),pp. 769-774,Tianjin, PEOPLES R CHINA,JUL 19-23, 2018.
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