一、基本信息
姓名:杨世品
出生年月:1984.04
职称:副教授,硕导
E - mail:spyang(a)njtech.edu.cn
二、教育背景
2008.09-2012.12,浙江大学,控制科学与工程,博士
2005.09-2008.06,武汉科技大学,控制理论与控制工程,硕士
2001.09-2005.06,武汉科技大学,自动化,本科
三、工作履历
2018.10-2019.10,美国加州大学戴维斯分校(University of California, Davis),访问学者
2014.09-2018.06,新利18彩票 ,化学工程与工艺,博士后
2013.02至今,新利18彩票 ,控制科学与工程学科教师
四、主要研究方向
1.仿生智能计算
2.复杂过程建模与优化
3.高级过程控制
4.新能源电池、生物质能源
五、承担的科研项目
1.国家自然科学基金面上项目:生物甲烷制备过程微宏观机理协同建模及多重约束P系统参数优化,2019-2022,主持
2.国家自然科学基金青年项目:基于P系统优化算法的生物甲烷产气过程建模研究,2014-2017,主持
3.江苏省青蓝工程优秀青年骨干教师项目:微宏观机理协同建模及模型参数最优估计,2021-2023,主持
4.工业控制技术国家重点实验室开放项目(ICT1330):基于P系统优化算法的桥式吊车高精度快速停摆控制器的设计,2013-2014,主持
5.国家自然科学基金面上项目:引入层间耦合关系表达的双层结构预测控制系统性能评估与深度诊断,2020-2023,参与
6.国家自然科学基金青年项目:间歇反应与精馏强化过程的二维实时优化与动态协同控制研究,2020-2023,参与
7.中船重工钓鱼岛驱逐舰舰载恒压供水系统研发,2017,主持
8.徐州重工机床非晶薄带成型机自动控制系统研发,2017,主持
六、发表的代表性论文
[1]Shipin Yang, Nelson Max, Shengdong Xie, Lijuan Li*, Tingting Zhao. Photovoltaic cell model parameter optimization using micro-charge field effect P systems. Engineering Applications of Artificial Intelligence. 2021, In Press, (SCI 2区, IF: 4.201)
[2]Shipin Yang*, Ryad Chellali, Xiaohua Lu, Lijuan Li, Cuimei Bo. P Modeling and optimization for proton exchange membrane fuel cell stack using aging and challenging P systems based optimization algorithm. Energy, 2016, 109:569-577. (SCI 1区, TOP, IF:6.082)
[3]Shipin Yang, Ning Wang*. A P systems based hybrid optimization algorithm for parameter estimation of FCCU reactor-regenerator model. Chemical Engineering Journal. 2012, 211-212:508-518. (SCI 1区, TOP, IF:10.652).
[4]Shipin Yang, Ning Wang*. A novel P systems based optimization algorithm for parameter estimation of proton exchange membrane fuel cell model. International Journal of Hydrogen Energy. 2012, 37(10):8465-8476, (SCI 2区, TOP, IF: 4.939).
[5] Lijuan Li, Luheng Lu, Zhen Huang, Xingyu Chen,Shipin Yang*. A model mismatch assessment method of MPC by decussation. ISA Transaction, 2020, 106:51-60. (SCI 2区, TOP, IF: 4.305)
[6] Huibin Lu, Cuimei Bo*,Shipin Yang*. An improved self-adaptive membrane computing optimization algorithm and its applications in residue hydrogenating model parameter estimation. Journal of Central South University, 2015, 22:3909-3915.(SCI, 3区1.249)
[7] Shu Zhang, Lijuan Li*, Lijuan Yao,Shipin Yang, Tao Zou. Data-driven process decomposition and robust online distributed modelling for large-scale processes. International Journal of System Science, 2018,49(3): 449-463. (SCI 3区, IF: 2.149)
[8] Lijuan Li*, Zhenxu Tang, Shu Zhang,Shipin Yang, Xingyu Chen, Zhengfeng gong. Global Coordinated Distributed Predictive Control Algorithm Based on System Dynamic Decomposition Index. IEEE Access, 2019, 7:156386-156399.(SCI, 2区, IF:3.745)
[9] Lijuan Li*, Jianquan Song, Xiaoxiao Zhang, Jing Ye,Shipin Yang. Model deficiency diagnosis and improvement via model residual assessment in MPC. Industrial Engineering & Chemistry Research, 2017, 56:12151-12162.(SCI, 2区1.749)
[10] Lijuan Li*, Tingting Dong, Shu Zhang, Xiaoxiao Zhang,Shipin Yang. Time-delay identification in dynamic processes with disturbance via correlation analysis. Control Engineering Practice, 2017, 62: 92–101.(SCI, 2区, IF:3.193)
[11] Wei Zhang, Ning Wang*,Shipin Yang. Hybrid artificial bee colony algorithm for parameter estimation of proton exchange membrane fuel cells. International Journal of Hydrogen Energy. 2013, 38(14):5796-5806. (SCI 2区, TOP, IF: 4.939).
[12] Bo Jiang*, Feiyue Qiu,Shipin Yang, Liping Wang. Evolutionary Multi-objective Optimization for Multi-view Clustering.IEEE World Congress on Evolutionary Computation, 2016, Vancouver, Canada, 3308-3315. (EI收录)
[13]杨世品,许云辰,李丽娟*,薄翠梅,徐启.基于反义RNA膜计算的欠驱动桥式吊车最优消摆控制.新利18彩票 学报,2021,43(1):65-72.
[14]杨世品,黄振,李丽娟*,宋健全,叶景,汪辉.复杂化工过程失配子模型深度诊断与修正算法.化工学报,2019, 70(4):1485-1493. (EI收录)
[15]杨世品*,陆小华,薄翠梅,李丽娟,徐启.多目标P系统仿生优化算法.北京工业大学学报,2016, 42(10):1475-1481.
[16]鲍敏,杨世品*,李丽娟.基于新型BP神经网络的沼气生产预测.计算机与应用化学,2019, 36(4):308-311.
七、已授权发明专利
[1]多批次间歇反应过程二维多模型预测迭代学习控制方法(授权号:CN 104460319 B),国家知识产权局,2019.
[2]基于CCA-PLS的大化工过程分布式建模方法(授权号:CN 104062904 B),国家知识产权局,2016.
[3]一种自噬膜计算的燃料电池建模方法(授权号:CN102521523B),国家知识产权局,2014.
[4]一种变搜索域P系统的渣油加氢过程建模方法(授权号:CN102521465B),国家知识产权局,2013.