Dr. jinglin Zhou

Time：2024-11-06Views：10

Dr. jinglin Zhou


Professor

Email: jinglinzhou@mail.buct.edu.cn


Background                                                                  

Dr. jinglinzhou is currently a Professor at College of Information Science and Technology, Beijing University of Chemical Technology. He got his Bachelor degree in Hunan University, School of Electrical and Information Engineering. He obtained his PhD degree in Institute of Automation, Chinese Academy of Sciences.

Areas of Research of Expertise

  • Stochastic distribution control

  • Control-loop performance assessment

  • Fault detection and diagnosis

  • Data drive control and its application

Teaching                                             

Undergraduate Teaching

  • Optimal Control

Postgraduate Teaching

  • Industrial data analysis technology and application

Research                                                

Funded Research Projects

The National Natural Science Foundation of China:

  • National Science Foundation of China (Grant No. 62073023) Performance assessment of non-Gausssian feedback control loops

  • National Science Foundation of China (Grant No. 61473025). Control-loop performance assessment for output stochastic distribution control system

  • National Science Foundation of China, (Grant No. 61573052) Data-driven enhanced learning control for complex dynamic systems

  • National Science Foundation of China (Grant No. 61573050), Fault diagnosis and control under unified framework for batch process

Five Representative Publications                                           

  1. Meng Y., J Zhou J. L., Lei F. R., Li D. Z., A novel class of non-Gaussian system performance assessment and controller parameter tuning methods,ISA Transactions,2024.154, 199-212.

  2. Zhou J. L. Yang Z. Y., Non-Gaussian quality relevant process Monitoring based on higher-order statistics projection to the latent structure and independent signal correction. Industrial & Engineering Chemistry Research. 2023 62 (6), 2777-2791.

  3. Liu D., Zhou J., Jiang H. Adversarial autoencoder concurrent projection to latent structure and its application. Can. J. Chem. Eng. 2024, 102(1), 274. 

  4. Wang J., Zhou J. L. and Chen X., Data-Driven Fault Detection and Reasoning for Industrial Monitoring. Springer, Singapore, 2022.

  5. Zhou J. L., Zhang S. L. and Wang J., A dual robustness projection to latent structure method and its application, IEEE Trans. on Industrial Electronics, 2021, 68: 1604-1614.

  6. Zhou J. L. and Yue H., Soft-bound interval control system and its robust fault-tolerant controller design, IEEE Trans. on Systems Man Cybernetics-Systems, 2021,51:378-390.

  7. Huang Z. D. and Zhou J. L., Text removal network based on comprehensive loss evaluation and its application, Neurocomputing, 2021,466:148-161

  8. Zhou J. L., Ren Y. W. and Wang J., Quality-relevant fault monitoring based on locally linear embedding orthogonal projection to latent structure, Industrial & Engineering Chemistry Research, 2019, 58:1262–1272.

  9. Zhou, J. L., Zhang S. L., Zhang, H. and. Wang, J.*, A Quality-Related Statistical Process Monitoring Method Based on Global plus Local Projection to Latent Structures. Ind. Eng. Chem. Res.,57: 5323–5337, 2018.

  10. Zhang, Qichun; Zhou, Jinglin; Wang, Hong; Chai, Tianyou, Output feedback stabilization for a class of multi-variable bilinear stochastic systems with stochastic coupling attenuation, IEEE Transactions on Automatic Control, 62(6), pp 2936-2942, 2017.