一、基本情况
1）
2）个人主页：
3）职称：副教授
4）学位：工学博士
5）工作单位：太原理工大学电气与动力工程学院自动化系
6）职务：无
7）电话：**
8）邮箱：renmifeng@126.com
二、研究方向
1）随机分布控制
2）控制系统性能评价、故障诊断
3) 深度学习
三、教育经历
2004.9~2008.6 河北北方学院理学院学习，大学本科
2008.9~2011.3 河北科技大学理学院学习，硕士研究生
2011.9~2014.6 华北电力大学控制与计算机工程学院学习，博士研究生
2013.1~2014.1 英国曼彻斯特大学控制中心学习，联合培养博士生
四、工作经历
2014.8—2017.11 太原理工大学，信息工程学院自动化系任教
2017.12—今 太原理工大学，电气与动力工程学院自动化系任教
五、学术及社会兼职
无
六、承担项目情况（以表格形式给出）

七、发表学术论文(论文题目/刊物/卷、期、页/作者顺序/收录情况)
[1] X. Xu, Y. Zhang, M. Ren^*, J. Zhang, G. Yan, Generalized Correntropy Filter-Based Fault Diagnosis and Tolerant Control for Non-Gaussian Stochastic Systems Subject to Sensor Faults, IEEE Access, 2018 (6): 12598-12607 (SCI源)
[2] X. Xu, Y. Zhao, M. Ren^*, SIP-Based Single Neuron Stochastic Predictive PID Control Algorithm for Non-Gaussian Networked Control System with Uncertain Metrology Delay, Entropy, 2018, 20 (7): 494 (SCI源)
[3] L. Cheng, K. Wang, M. Ren, X. Xu, Comprehensive Analysis of Multipath Estimation Algorithms in the Framework of Information Theoretic Learning, IEEE Access, 2018 (6): 5521-5530 (SCI源)
[4] L. Cheng, M. Ren, G. Xie, Multipath Estimation Based on Centered Error Entropy Criterion for Non-Gaussian Noise, IEEE Access, 2016 (4): 9978-9986 (SCI源)
[5] M. Ren, T. Cheng, J. Chen, X. Xu, L. Cheng, Single Neuron Stochastic Predictive PID Control Algorithm for Nonlinear and Non-Gaussian Systems Using the Survival Information Potential Criterion, Entropy, 2016, 18(6), 218; doi:10.3390/e** (SCI源)
[6] J. Zhang, J. Xiong, M. Ren*, Y. Shi, J. Xu, Filter-Based Fault Diagnosis of Wind Energy Conversion Systems Subject to Sensor Faults, Journal of Dynamic Systems, Measurement, and Control， 2016, 138, 061008-1~061008-10 (SCI源)
[7] J. Zhang, Y. Kuai, M. Ren, S. Zhou, M. Lin, Controller design for nonlinear and non-Gaussian multivariable systems based on survival information potential criterion, Journal of the Franklin Institute, 2016, 353(15), 3786-3798 (SCI源)
[8] J. Zhang, Y. Kuai, M. Ren, Z. Luo, M. Lin, Event-triggered distributed filtering for non-Gaussian systems over wireless sensor networks using survival information potential criterion, IET Control Theory & Applications, 2016, 10(13), 1524-1530 (SCI源)
[9] J. Zhang, S. Zhou, M. Ren, H. Yue, Adaptive neural network cascade control system with entropy-based design, IET Control Theory & Applications, 2016,10(10), 1151-1160 (SCI源)
[10] M. Ren, J. Zhang, M. Jiang, M. Yu and J. Xu, Minimum (h,hpi)-entropy control for non-Gaussian stochastic networked control systems and its application to a networked DC motor control system, IEEE Transactions on Control Systems and Technology, 23(1),2015: 406-411 (SCI源)
[11] M. Ren, J. Zhang and H. Wang, Minimized tracking error randomness control for nonlinear multivariate and non-Gaussian systems using the generalized density evolution equation, IEEE Transactions on Automatic Control, 59(9), 2014: 2486-2490 (SCI源)
[12] M. Ren, D. Wu, J. Zhang , M. Jiang, Minimum entropy based cascade control for governing hydroelectric turbines, Entropy, 16(6), 2014: 3136-3148 (SCI源)
[13] M. Ren, J. Zhang, Y. Tian, and G. Hou, A Neural Network Controller for Variable-Speed Variable-Pitch Wind Energy Conversion Systems Using Generalized Minimum Entropy Criterion, Mathematical Problems in Engineering, vol. 2014, Article ID 412027, 9 pages, 2014. doi:10.1155/2014/412027 (SCI源)
[14] J. Zhang, M. Jiang, M. Ren, G. Hou and J. Xu, Improved single neuron controller for multivariable stochastic systems with non-Gaussianities and unmodeled dynamics, ISA Transactions, 52(6), 2013: 752-758 (SCI源)
[15] M. Ren, J. Zhang, F. Fang, G. Hou and J. Xu, Improved minimum entropy filtering for continuous nonlinear non-Gaussian systems using a generalized density evolution equation，Entropy, 15(7), 2013: 2510-2523 (SCI源)
[16] J. Zhang, M. Ren and H. Wang, Minimum entropy control for non-linear and non-Gaussian two-input and two-output dynamic stochastic systems, IET Control Theory & Applications, 6(15), 2012: 2434-2441(SCI源)
[17] M. Ren, J. Zhang, M. Jiang, Y. Tian and G. Hou, Statistical information based single neuron adaptive control for non-Gaussian stochastic systems, Entropy, 14(7), 2012: 1154-1164 (SCI源)
[18] J. Qiu, M. Ren*, Y. Niu, Y. Zhao and Y. Guo, Fault estimation for nonlinear dynamic systems, Circuits, Systems & Signal Processing, 31(2), 2012: 555-564 (SCI源)
[19] J. Zhang, L. Du, M. Ren and G. Hou, Minimum error entropy filter for fault detection of networked control systems, Entropy, 14(3), 2012: 505-516 (SCI源)
[20] J. Zhang, F. Zhang, M. Ren and G. Hou, Cascade control of superheated steam temperature with neural PID controller, ISA Transactions, 51(6), 2012: 778-785 (SCI源)
[21] J. Zhang, M. Ren, Y. Tian, G. Hou and F. Fang, Constrained stochastic distribution control for nonlinear stochastic systems with non-Gaussian noises, International Journal of Innovative Computing, Information and Control, 9(4), 2013:1759-1767(EI期刊)
[22] J. Zhang, M. Ren, G. Hou and M. Yu, Design MIMO control systems with non-Gaussian delays and noises，ICIC Express Letters, 7(2), 2013: 417-422 (EI期刊) http://www.ijicic.org/el-7(2).htm
[23] M. Ren, J. Zhang, J. Zhang and G. Hou, Minimum entropy incremental control for nonlinear stochastic systems with non-Gaussian disturbances and uncertain parameters, 2012 American Control Conference, June 27-29, Montreal, Quebec, Canada, 2012: 197-201 (EI会议)
[24] J. Zhang, Y. Tian, M. Ren, J. F. Zhang and G. Hou, Stochastic distribution control for the permanent magnet synchronous generator based variable speed wind energy conversion systems, 25th Chinese Control and Decision Conference (CCDC), 2013: 1930-1935 (EI会议)
[25] J. Zhang, Y. Tian, M. Ren and G. Hou, A novel approach to control PMSG-based wind energy systems, 31st Chinese Control Conference (CCC), 2012: 6736-6740 (EI会议)
[26] J. Zhang, J. Xiong, M. Ren, M. Jiang and G. Hou, Fault diagnosis of wind energy conversion systems with sensor faults, IET Renewable Power Generation Conference，2013: 1-7 (EI会议)
[27] M. Ren, J. Zhang, H. Wang, M. Huang, Double-Objective Optimal Control for Non-Gaussian Systems: An Example Study on Analytical vs Numerical Solutions, 9th International Symposium on Advanced Control of Chemical Processes, June 7-10, 2015,Whistler, British Columbia, Canada,pp.924-929 (EI会议) http://www.doc88.com/p-13.html
[28] M. Ren, T. Cheng, L. Cheng, J. Zhang, G. Yan, A Single Neuron Controller for Non-Gaussian Systems with Unmodeled Dynamics, 2016 UKACC 11th International Conference on Control (CONTROL), Belfast, UK, 31st August - 2nd September, 2016 (EI会议)
[29] M. Ren, Y. Zhao, Y. Zhang, J. Zhang, X. Xu, Performance Assessment for Superheated Steam Temperature Control System with Survival Information Potential Benchmark, 2017 Chinese Automation Congress (CAC), October 20-22, 2017, Jinan, China (EI会议)
[30] J. Zhang, M. Ren, H. Yue, Constrained Entropy-Based Temperature Control of Waste Heat Systems, 2016 12th World Congress on Intelligent Control and Automation (WCICA), June 12-15, 2016, Guilin, China (EI会议)
[31] J. Zhang, M. Ren, J. Xiong and M. Lin, Multi-objective Optimal Temperature Control for Organic Rankine Cycle Systems, Proceeding of the 11th World Congress on Intelligent Control and Automation Shenyang, China, June 29 - July 4 2014 (EI会议)
[32] L. Cheng, M. Ren, G. Xie, J. Chen, Multipath Estimation using Kernel Minimum Error Entropy Filter, 2016 UKACC 11th International Conference on Control (CONTROL) Belfast, UK, 31st August - 2nd September, 2016 (EI会议)
[33] 成婷，任密蜂，续欣莹，窦婕，基于中心误差熵准则的非高斯系统滤波器设计， 太原理工大学学报，2017, 48 (4): 634-641

八、代表性学术成果
1、科技奖

2、发明专利
3、专著
任密蜂，张建华，王宏，非高斯系统的控制及滤波，2016.7，科学出版社
4、教材
九、所获得荣誉（荣誉名称/荣誉授予单位/级别/时间/角色）

十、研究生指导情况

2018级3名 齐慧月，方茜茜，马建飞
2017级5名 梁艳，巩明月，张雯，张旭霞，任志富

十一、联系方式
1）通讯地址
山西省太原市迎泽西大街79号，太原理工大学电气与动力工程学院自动化系
2）邮编 ：030024
3）电话：**
4）邮箱：renmifeng@126.com


任密蜂副教授承担项目统计
类别
序号
项目名称
项目属性
项目状态（在研或结题）
金额
执行期
角色

科
技
项
目
1
基于统计信息集的非高斯系统多目标优化控制及性能评估策略研究
国家自然科学基金
在研
23.7万
2016.1~2018.12
主持

2
基于非高斯随机控制理论的锅炉烟气
余热利用过程控制
省自然科学基金
在研
2万
2017.7~2019.12
主持

3
非高斯随机系统的多目标优化控制及性能评估
校基金
结题
1
2015.1~2016.12
主持


任密蜂副教授学术交流情况

类别
序号
会议名称
地点
主办
时间
角色

参加会议
1
中国自动化大会
武汉
中国自动化学会
2015.11.27-29
无论文参会

2
2016 UKACC 11th International Conference on Control
Belfast, UK
Queen's University Belfast
31st August - 2nd September
做小组报告

3
The 36^th Chinese Control Conference
Dalian, China
中国自动化学会控制理论专业委员（TCCT）
2017.7.26-28
参会