教育背景 2008/09~2012/06, 中国石油大学(华东)自动化系，博士 2005/09~2008/06, 中国石油大学(华东)自动化系，硕士 2001/09~2005/07, 中国石油大学(华东)自动化系，学士

工作背景 2014/07~ 至今, 中国石油大学(华东)自动化系，讲师 2012/07~2014/06, 重质油国家重点实验室，博士后

针对炼油/化工生产过程(如催化裂化、两段提升管多产丙烯催化裂解、甲醇制烯烃和聚丙烯)，研究融合机理分析和数据驱动的建模方法和以节能降耗为目标的先进控制和智能优化方法

[1] Wang Ping, Yang Chaohe, Yuan Zhihong. The combination of adaptive pseudospectral method and structure detection procedure for solving dynamic optimization problems with discontinuous control profiles[J]. Industrial & Engineering Chemistry Research, 2014, 53(17): 7066-7078. WOS:000335369300020

[2] Yuan Zhihong, Wang Ping, Yang Chaohe. Steady-state multiplicity analysis of two-stage- riser catalytic pyrolysis processes[J]. Computers & Chemical Engineering, 2015, 73: 49-63. WOS：000349755100006

[3] Yuan Zhihong, Wang Ping, Yang Chaohe, Eden MR. Systematic control structure evaluation of two-stage-riser catalytic pyrolysis processes[J]. Chemical Engineering Science, 2015, 126: 309-328. WOS：000366889700132

[4] Wang Ping, Yang Chaohe, Tian Xuemin, Huang Dexian. Adaptive nonlinear model predictive control using an on-line support vector regression updating strategy[J]. Chinese Journal of Chemical Engineering, 2014, 22(7): 774-781. 000340740200008

[5] Tian Xuemin, Wang Ping, Huang Dexian, Chen Sheng. Offset free multi-step nonlinear model predictive control under plant-model mismatch [J]. International Journal of Adaptive Control and Signal Processing, 2014, 28(3-5): 444-463. 000333022500013

[6] Wang Ping, Tian Xuemin, Yang Chaohe, Yuan Zhihong. Economics-oriented NMPC of two-stage-riser catalytic pyrolysis processes for maximizing propylene yield[C]. 9th IFAC Symposium on Advanced Control of Chemical Processes, Whistler, Canada, 2015, 48(8):32-37.

[7] Wang Ping, Tian Xuemin. A hybrid DE-SQP algorithm with switching procedure for dynamic optimization [C]. 48th IEEE Conference on Decision and Control, Shanghai, China, 2009

[8] Shao Weiming, Tian Xuemin, Wang Ping. Online soft sensor design using local partial least squares models with adaptive process state partition[J]. Chemometrics and Intelligent Laboratory Systems, 2015, 144: 108-121.

[9] Shao Weiming, Tian Xuemin, Wang Ping. Supervised local and non-local structure preserving projections with application to just-in-time learning for adaptive soft sensor[J]. Chinese Journal of Chemical Engineering, 2015, 23(12): 1925-1934.

[10] Shao Weiming, Tian Xuemin, Wang Ping. Soft sensor development for nonlinear and time-varying processes based on supervised ensemble learning with improved process state partition[J]. Asia-Pacific Journal of Chemical Engineering, 2015, 10(2): 282-296.

[11] 王平, 赵辉, 杨朝合. 基于多目标优化的两段提升管重油催化裂解自优化控制. 化工学报, 2016, 67(8):3491-3498

[12] 王平, 赵辉, 杨朝合. 面向过程控制的两段提升管重油催化裂解动态建模. 化工学报, 2016, 67(8):3499-3506.

[13] 王平, 杨朝合, 田学民. 面向产品分布协调的两段提升管催化裂解多目标优化. 化工学报, 2017, 68(3):941-946.

[14] 王平,田学民,黄德先.双环管聚丙烯反应过程牌号切换优化控制策略[J]. 清华大学学报(自然科学版), 2012, 09: 1236-1243

[15] 王平,田学民,黄德先.基于全局正交配置的非线性预测控制算法[J].化工学报, 2011, 62 (8): 2200-2205

[16] 王平,田学民.基于高斯伪谱法的分区联立动态优化策略[J].控制与决策, 2011, 26(11): 2100-2104

[17] 王平,田学民,黄德先.一种基于增量式SVR学习的在线自适应建模方法[J].化工学报, 2010, 61(8): 2040-2045

[18] 王平,田学民.一种改进的CVP方法及其在动态优化中的应用[J].控制与决策, 2009, 24(11): 1757-1760

[19] 阮宏镁, 田学民, 王平. 基于联合互信息的动态软测量方法[J]. 化工学报, 2014, 65(11): 4497-4502.

[20] 黄德先,王平,刘祁跃.催化裂化反应深度在线计算及自适应非线性预测控制方法(国家发明专利201010196660.3)