dafa888casino网页版下载-The.1

您目前的位置: 首页
叶凌箭
作者: 更新时间:2021-07-14 18:53:17

叶凌箭,工学博士,教授。本科与博士分别毕业于浙江大学化工系、控制科学与工程专业。发表论文90余篇,主持国家自然科学基金青年项目、面上项目、浙江省自然科学基金、宁波市自然科学基金、中国博士后基金面上项目、宁波市科技创新2025重大专项等,企业委托横向课题50余项,发明专利9项。

 

主要研究方向:复杂系统建模及优化控制

 

纵向项目(主持):

1.国家自然科学基金青年项目:基于被控变量离线设计与在线更新的实时优化技术研究,201326

2.浙江省自然科学基金:基于软测量技术的化工过程新型实时优化策略研究,20135

3.国家博士后基金第54批面上项目:基于更新被控变量的新型分层递阶控制系统设计,20135

4.国家自然科学基金面上项目:基于自优化控制的间歇过程实时优化方法研究,201662

5.宁波市自然科学基金:六关节工业机器人轨迹规划的迭代修正适应,20153

6.宁波市自然科学基金:基于能量最优的不确定性工业机器人鲁棒轨迹规划,20183

7.轻工过程先进控制教育部重点实验室开放课题:复杂化工过程的自优化控制方法研究,20193

8.高功率力矩密度低噪声家用电器电机研发及产业化,宁波市科技创新2025重大专项,2020,企校合作,总经费2050

9.国家自然科学基金面上项目:基于子空间操作的复杂间歇过程反馈优化控制方法研究,202350

10.浙江省自然科学基金一般项目:复杂不确定性间歇过程的混合实时优化方法研究,202410

 

 

部分横向项目(主持)

大时滞反应釜内外温控制器研发XX市城区内流河道水动力模型研发、蓄水量多变水电站自适应水位系留浮标装置及其自动控制系统研发、高性能智能温控仪研发、智能化慢炖锅控制模块研发、大风量吸油烟机声压级降噪技术研发、伺服电机轴内花键加工工艺及自动控制系统的研发、集装式机械密封气密性测试台的研发、电磁感应加热器控制系统研发、餐具自动卷边专机研发、灭火器器头铆钉铆接专机研发、高耐磨亚克力裙边缸生产智能控制技术研发、双色注塑机电动射台关键技术研发、油壶气密性检测试验台研发、液压马达试验台研发、提升推拉门传动器位置尺寸检测专机研发、等等数十项

 

 

部分代表性论文:

1. Ye L*, Cao Y, He Y, et al. Generalized global self-optimizing control for chemical processes Part I. The existence of perfect controlled variables and numerical design methods [J]. Industrial & Engineering Chemistry Research, 2023, 62(37): 15051-69. 

2. 叶凌箭.化工过程的自优化控制:原理、发展与应用展望[J].化工学报,2023,74(11):4445-4465

3. Lingjian Ye*, Yi Cao, Shuanghua Yang, Global self-optimizing control with active-set changes: A polynomial chaos approach, Computers and Chemical Engineering, 2022, 159: 107662

4. Xie Ma, Hongwei Guan, Lingjian Ye*, Sigma-point and stochastic gradient descent approach to solving the global self-optimizing controlled variables, Korean Journal of Chemical Engineering, 2023

5. Lingjian Ye*, Feifan Shen, Hongwei Guan, Design of hybrid batch-to-batch and within-batch self-optimizing control structures for batch processes, Journal of Process Control, Volume 113, 2022, Pages 1-17.

6. J. Yu, L. Ye*, L. Zhou*, Z. Yang, F. Shen and Z. Song, Dynamic Process Monitoring Based on Variational Bayesian Canonical Variate Analysis, in IEEE Transactions on Systems, Man, and Cybernetics: Systems, vol. 52, no. 4, pp. 2412-2422, April 2022

7. 叶凌箭*. 间歇过程的批内自优化控制. 自动化学报, 2022, 48(11): 2777−2787 doi: 10.16383/j.aas.c190855

8. Lingjian Ye*, Feifan Shen, Xie Ma, Hongwei Zhang, An active approach to space-reduced NCO tracking and output feedback optimizing control for batch processes with parametric uncertainty, Journal of Process Control, Volume 89, 2020, Pages 30-44.

9. 关宏伟, 叶凌箭*, 沈非凡, 顾德, 宋执环. 基于经济模型预测控制的金氰化浸出过程动态实时优化[J]. 化工学报, 2020, 71(3): 1122-1130.

10. Zhu, Minfeng, Lingjian Ye*, and Xiushui Ma. Estimation-Based Quadratic Iterative Learning Control for Trajectory Tracking of Robotic Manipulator With Uncertain Parameters. IEEE Access 8 (2020): 43122-43133.

11. Hongwei Guan, Lingjian Ye*, Feifan Shen, Zhihuan Song, Economic operation of a fluid catalytic cracking process using self-optimizing control and reconfiguration, Journal of the Taiwan Institute of Chemical Engineers, 2019, 96: 104-113.

12. Jiaxin Yu, Kai Wang, Lingjian Ye*, Zhihuan Song, Accelerated Kernel Canonical Correlation Analysis with Fault Relevance for Nonlinear Process Fault Isolation, Industrial &  Engineering Chemistry Research, 2019, 58, 1828018291.

13. Lingjian Ye, Sigurd Skogestad*, Dynamic self-optimizing control for unconstrained batch processes, Computers and Chemical Engineering, 2018, 117(9), 451–468.

14. Lingjian Ye, Feifan Shen, Zhiqiang Ge, Zhihuan Song, On an Aspect of Implementing Real-Time Optimization: Establishing the Suspending and Activating Conditions Incorporating Process Monitoring, IFAC-PapersOnLine, 2018, 51(18), 79-84.

15. Lingjian Ye, Martyna, Krolicka, Yi Cao*, Control Reconfiguration to Improve HDA Process Optimality, IFAC-PapersOnLine,2018,51(18):434-439.

16. Lingjian Ye, Yi Cao, Xiaofeng Yuan, Zhihuan Song. Retrofit Self-Optimizing Control: A Step Forward Towards Real Implementation, IEEE Transactions on Industrial Electronics, 2017,64(6): 4662-4670.

17. Lingjian Ye*, Hongwei Guan, Xiaofeng Yuan, Xiushui Ma. Run-to-run optimization of batch processes with self-optimizing control strategy. The Canadian Journal of Chemical Engineering, 2017, 95(4):724-736.

18. 叶凌箭*,关宏伟,金氰化过程的自优化控制,控制与决策, 2017, 32 (3) :481-486.

19. Lingjian Ye*, Aimin Miao, Hongwei Zhang, Real-Time Optimization of Gold Cyanidation Leaching Process in a Two-Layer Control Architecture Integrating Self-Optimizing Control and Modifier Adaptation. Ind. Eng. Chem. Res., 2017, 56 (14), pp 4002–4016

20. Lingjian Ye*, Yi Cao, and Xiaofeng Yuan, Global Approximation of Self-Optimizing Controlled Variables with Average Loss Minimization, Industrial & Engineering Chemistry Research, 2015. 54(48): p. 12040-12053.

21. 叶凌箭,马修水*,宋执环,基于输入轨迹参数化的间歇过程迭代学习控制,化工学报,2016,67(3),743-750.

22. 叶凌箭*,非线性过程自优化控制的快速算法,控制理论与应用, 2016,33(1):40-46.

23. Lingjian Ye*. CAO Yi, Ma Xiushui, SONG Zhihuan. A Novel Hierarchical Control Structure with Controlled Variable Adaptation. Ind. Eng. Chem. Res., 2014, 53(38), 14695-14711.

 

发明专利:

1. 叶凌箭等,一种基于图像分析的吸油烟机自动调速控制方法和控制系统. 发明专利:ZL 201410809191.6,授权时间2016.11.23

2. 叶凌箭等,碱液浓缩生产工艺中强制循环蒸发控制过程的自优化被控变量的计算方法. 发明专利:ZL 201510247620.X授权时间2017.7.25

3. 叶凌箭等,一种湿法冶金金氰化浸出过程的自优化控制方法. 发明专利ZL 201510835755.8授权时间2018.5.1

4. 叶凌箭等,一种催化裂化装置的控制方法,发明专利ZL201711441371.3授权时间2020.3.3

5. 叶凌箭等,一种基于改进二次型迭代学习控制的SCARA 机器人轨迹跟踪控制方法,发明专利

6. 叶凌箭等,一种基于Anderson 加速的迭代学习控制方法,发明专利

7. 叶凌箭,一种固体氧化物燃料电池的优化控制系统及其控制方法

 

团队信息:团队成员现有5名教师,其中教授2名、副教授2名

 

联系方式:03007@zjhu.edu.cn