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Technical papers

  1. Zhu, Y.C. (1989). On the estimation of transfer functions: the asymptotic theory and a bound of model uncertainty. Int. J. Control, Vol. 49, pp 2241-2258.
  2. Zhu, Y.C. (1989). Black-box identification of MIMO transfer functions: asymptotic properties of prediction error models. Int. J. Adaptive Control and Signal Processing, Vol. 3, pp 357-373.
  3. Zhu, Y.C., M.H. Driessen and P. Eykhoff (1990). Identification and control of servo systems. Journal A, Vol. 31, pp 33-41.
  4. Zhu, Y.C. and M.H. Klompstra (1991). Spectral analysis in linear process identificationa new look at an old problem. Int. J. Control, Vol. 53, pp. 1449-1465.
  5. Oudbier, R., Y.C. Zhu and J. Ludlage (1994). Identification and robust control of a stabliser. Trans. IChemE, Vol. 72, Part A, pp 81-88.
  6. Zhu, Y.C. and X.H. Ge (1997). Tai-Ji ID: automatic system identification package for model based process control. Journal A, Vol. 38, No. 3, pp 42-45.
  7. Zhu, Y.C. (1998). Multivariable process identification for MPC: the asymptotic method and its applications. Journal of Process Control, Vol.8, No. 2, pp 101-115.
  8. Zhu, Y.C., E. Arrieta, F. Butoyi and F. Cortes (1999). Parametric versus nonparametric models in identification for MPC. Hydrocarbon Processing, February 2000.
  9. Zhu, Y.C. and P.P.J. van den Bosch and A. Oudshoorn (1999). Identification of bioprocesses for adaptive PID tuning. Journal A, Vol. 40, No. 3, pp 37-45.
  10. Zhu, Y.C. and P.P.J. van den Bosch (2000). Optimal closed-loop identification test design for internal model control. Automatica, Vol. 36, pp. 1237-1241.
  11. Zhu, Y.C. (2000). Hammerstein model identification for control using ASYM. Int. J. of Control, Vol. 73, No.18, pp. 1692-1702.
  12. Butoyi F. and Y.C. Zhu (2001). Increase the efficiency of MPC commissioning. Hydrocarbon Processing, March, 2001.
  13. Zhu, Y.C. (2001). Robust linear and nonlinear PID tuning based on identification. Journal A, Vol. 42, No. 3.
  14. Zhu, Y.C. and F. Butoyi (2002). Case studied on closed-loop identification for MPC. Control Engineering Practice. Vol. 10, pp 403-417.
  15. Zhu, Y.C. (2002). Estimation of an N-L-N Hammerstein-Wiener model. Automatica. Vol. 38, No. 9, pp 1607-1614.
  16. Zhu, Y.C. and P. Stec (2006). Simple control-relevant identification test methods for a class of ill-conditioned processes. Journal of Process Control . Vol. 16, pp.1113–1120.
  17. Zhu, Y.C., Telkamp, H., Wang, J., Fu, Q. (2009).System Identification using slow and irregular output samples. Journal of Process Control, Volume 19, No. 1, pp 58-67.
  18. Zhu, Y.C. (2009). System identification for process control: recent experience and outlook. Int. Journal of Modelling, Identification and Control, Vol. 6, No. 2, pp.89–103.
  19. Xu, Z.H., Zhao, J., Qian, J.X., Zhu, Y.C. (2009). Nonlinear MPC using an identified LPV. Industrial and Engineering Chemistry Research, Vol. 48, No. 6, pp 3043–3051.
  20. Xu, Z.H., Zhu, Y.C., Han, K., Zhao, J., Qian, J.X. (2010). A multi-iteration pseudo-linear regression method and an adaptive disturbance model for MPC. Journal of Process Control. Vol. 20, No. 4, pp 365-558.
  21. Zhu, Y.C. (2011). Let’s MPC the economy: stabilizing the economy using more dynamic regulation. Int. Journal of Modelling, Identification and Control, Vol. 14, No. 3, pp 141-148.
  22. Ji G.L., K.K. Zhang and Y.C. Zhu (2012). A method of MPC model error detection. Journal of Process Control. Vol. 22, No. 3, pp 635-642.
  23. Huang J.Y., G.L. Ji, Y.C. Zhu and P. van den Bosch (2012). Identification of multi-model LPV models with two scheduling variables. Journal of Process Control. Vol. 22, No. 7, pp 1198-2208.
  24. Zhu, Y.C., R. Patwardhan, S. B. Wagner and J. Zhao (2013). Towards a low cost and high performance MPC: the role of system identification. Computers & Chemical Engineering. Vol. 51, pp. 124-135. 
  25. Zhao, J., Zhu, Y.C.,and R. Patwardhan (2013). Identification of k-step-ahead prediction error model and MPC control. Journal of Process Control. Vol. 24, pp 48-56.
  26. Zhu, Y.C. and H. Hjalmarsson (2016). The Box-Jenkins Steiglitz-McBride algorithm. Automatica, Vol. 65, pp. 170-182.
  27. Zhang, K.K., Y.C. Zhu, and B. Huang (2016). MV benchmark estimation based on high-frequency test signal. Journal of Process Control, Vol. 47, pp. 35-45.
  28. Liu, X. and Y.C. Zhu (2017). Identification of errors-in-variables systems: An asymptotic approach. Int. Journal of Adaptive Control and Signal Processing, DOI 10.1002/acs.2751.
  29. Fang, M.Y. and Y.C. Zhu (2017). Analysis of over-sampling based identification. Automatica, Vol. 79, pp. 101-107.
  30. Fang, M.Y., Y.C. Zhu and H. Hjalmarssonb (2017). On anti-aliasing filtering and over-sampling scheme in systemidentification. Computers and Chemical Engineering, Vol. 106, pp. 572–581.
  31. Kangkang Zhang, K.K., J. Zhao and Y.C. Zhu (2018). MPC case study on a selective catalytic reduction in a power plant. Journal of Process Control, Vol. 62, pp. 1-10.
  32. Yan W.G., Y.C. Zhu, L.Y. Zhu and X. Liu (2018). Identification of systems with slowly sampled outputs using LPV model. Computers and Chemical Engineering, Vol. 112, pp. 316–330.
  33. Yan W.G. and Y.C. Zhu (2018). Identification-based PID tuning without external excitation. Int. Journal of Adaptive Control and Signal Processing, DOI: 10.1002/acs.2929.
  34. Chao Yang and Yucai Zhu (2021). Two-time scaled identification for multi-energy systems. Control Engineering Practice, Vol. 113, pp. 1-12.
  35. Jinming Zhou and Yucai Zhu (2021). Identification based fault detection: Residual selection and optimal filter. Journal of Process Control, Vol. 105, pp. 1-14.
  36. Yun Zhu, Wengang Yan and Yucai Zhu (2021). MPC closed-loop identification without excitation. Journal of Process Control, Vol. 106, pp. 122-129.
  37. Jinming Zhou and Yucai Zhu (2021). Fault isolation based on transfer-function models using an MPC algorithm. Computers and Chemical Engineerin, Vol. 159, pp. 1-14.
  38. Yucai Zhu, Chao Yang, Xi Chen, Jinming Zhou and Jun Zhao (2022). Identification-based real-time optimization and its application to power plants. Control Engineering Practice, Vol. 123, pp. 1-16.
  39. Jinming Zhou and Yucai Zhu (2022). Automatic determination of optimal fault detection filter, Journal of Process Control, Vol. 118, pp. 69-81.
  40. Jinming Zhou, Yucai Zhu, Zhijiang Shao, Zhe Dong and Chao Yang (2022). Identification-based sensor and actuator fault diagnosis for industrial control systems and its application to HTR-PM, Control Engineering Practice, Vol. 131, pp. 1-14.
  41. Chao Yang, Yucai Zhu, Jinming Zhou, Jun Zhao, Ren Bu, Guo Feng (2023). Dynamic flexibility optimization of integrated energy system based on two-timescale model predictive control. Energy, Vol. 276 (2023) 127501, pp 1-16.
  42. Jinming Zhou, Yucai Zhu, Zhijiang Shao (2023). A combined passive-active method for diagnosing multiplicative fault. Process Safety and Environmental Protection, Vol. 178, pp. 959-975.
  43. Yun Zhu, Kangkang Zhang, Yucai Zhu, Pengfei Jiang, Jinming Zhou (2024). Development of a three-term MPC and its application to an ultra-supercritical coal fired power plant. Control Engineering Practice, Vol. 143, 105787.
  44. Yun Zhu, Yucai Zhu, Chao Yang (2025). Wind farm power optimization using system identification. Computers & Chemical Engineering, Vol. 192, 108877.