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Mifeng Ren
Title：Associated Professor Education：Ph.D
Research Area：Stochastic Control, Fault Diagnosis, Control Performance Assessment, Storage Energy Operation Control
  • Biography
  • Publications
    Prof Mifeng Ren received her BEng degree from Hebei North University, 2008,Master degree from Hebei University of Science and Technology,2011 and PhD degree from North China Electric Power University, 2014. She is presently working as an associated Professor in the College of Electrical and Power Engineering, Taiyuan University of Technology. Her current research concerned with stochastic control, fault diagnosis, control performance assessment, storage energy operation control.
    1. Mifeng Ren, Junghui Chen, Peng Shi, Gaowei Yan, Lan Cheng, Statistical information based two-layer model predictive control with dynamic economy and control performance for non-Gaussian stochastic process, Journal of the Franklin Institute, 2021, 358(4): 2279-2300.
    2. M. Ren,M. Gong, M. Lin, J. Zhang, Generalized CorrentropyPredictive Control for Waste Heat Recovery Systems Based on Organic Rankine Cycle, IEEE ACCESS, 2019,7:151587-151594.
    3. M. Ren, Q. Zhang, and J. Zhang, An introductory survey of probability density function control, Systems Science & Control Engineering, 2019, 7(1): 158-170.
    4. X. Xu, Q. Chen, M. Ren*, L. Cheng, J. Xie, Combustion Optimization for Coal Fired Power Plant Boilers Based on Improved Distributed ELM and Distributed PSO, Energies, 2019, 12, 1036; doi:10.3390/en12061036.
    5. 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.
    6. 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.
    7. 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.
    8. J. Zhang, X. Tian, Z. Zhu, M. Ren, Data-Driven Superheating Control of Organic Rankine Cycle Processes, COMPLEXITY, 4154019,DOI: 10.1155/2018/4154019, 2018
    9. L. Cheng, H. Yue, Y. Xing, M. Ren, Multipath Estimation Based on Modified epsilon-Constrained Rank-Based Differential Evolution With Minimum Error Entropy, IEEE Access, 2018(6): 61569-61582.
    10. 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/e18060218.
    11. J. Zhang, J. Xiong, M. Ren*, Y. Shi, J. Xu, Filter-Based Fault Diagnosisof Wind Energy Conversion Systems Subject to Sensor Faults, Journal of Dynamic Systems, Measurement, and Control，2016, 138, 061008-1~061008-10.
    12. 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.
    13. 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.
    14. 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.
    15. L. Cheng, M. Ren, G. Xie, Multipath Estimation Based on Centered Error Entropy Criterion for Non-Gaussian Noise, IEEE Access, 2016 (4): 9978-9986.
    16. 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.
    17. M. Ren, J. Zhang and H. Wang, Minimizedtracking 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.
    18. M. Ren, D. Wu, J. Zhang , M. Jiang, Minimum entropy based cascade control for governing hydroelectric turbines, Entropy, 16(6), 2014: 3136-3148.
    19. 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.
    20. 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.
    21. 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 evolutionequation，Entropy, 15(7), 2013: 2510-2523.
    22. J. Zhang, M. Renand 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.
    23. 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.
    24. 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.
    25. J. Zhang, L. Du, M. Renand G. Hou, Minimum error entropy filter for fault detection of networked control systems, Entropy, 14(3), 2012: 505-516.
    26. J. Zhang, F. Zhang, M. Renand G. Hou, Cascade control of superheated steam temperature with neural PID controller, ISA Transactions, 51(6), 2012: 778-785.
    27. 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.
    28. 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.
    29. 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.
    30. 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.
    31. M. Ren, T. Cheng, L. Cheng, J.Zhang, G. Yan, A Single Neuron Controller for Non-GaussianSystems with Unmodeled Dynamics, 2016 UKACC 11th International Conference on Control (CONTROL), Belfast, UK, 31st August -2nd September, 2016.
    32. 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.
    33. M. Ren, Y. Liang, An Improved PCA-based Fault Detection Method for non-Gaussian Systems Using SIP Criterion, 2019 IEEE 15th International Conference on Control and Automation (ICCA), Edinburgh, UK, 2019.7.
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