朱豫才

朱豫才，男，現為浙江大學工業控制研究所控制科學與工程學系教授，主要研究方向為系統辨識和預測控制。

基本介紹

• 中文名：朱豫才
• 畢業院校：西安交通大學

個人簡介

朱豫才1982年畢業於西安交通大學信控系自動控制專業。分別於1985年和1990年在荷蘭埃因侯溫(Eindhoven) 技術大學電機系獲碩士和博士學位。1991年他參與創建荷蘭IPCOS公司。1993年至1996年朱豫才在Setpoint公司和AspenTech 公司任高級工程師。1996年朱豫才創建荷蘭太極控制(Tai-Ji Control) 公司。同時，1998年至2011年朱豫才在荷蘭埃因侯溫(Eindhoven)技術大學電機系任兼職 Researcher。2011年4月朱豫才任浙江大學控制系教授，併入選浙江省“千人計畫”。
朱豫才主要研究系統辯識，出版過兩本專著，發表了50餘篇刊物和會議論文。他提出了所謂的漸近辯識法，能系統解決多變數系統的辯識問題。他還提出了幾種非線性系統的辯識方法，包括Hammerstein模型、Wiener模型、Hammerstein-Wiener模型和LPV（線性變參數）模型等。
以漸近辯識法為基礎，朱豫才開發出系統辨識軟體。使用該技術，可將辯識實驗時間減少70%，數據分析和建模時間減少80%，並能提高模型精度。使用該技術的公司包括ExxonMobil, Saudi Aramco, Total, Statoil, Linde,Air Liquide 和浙江中控等。他還開發出PID參數整定軟體，用戶包括ExxonMobil, Saudi Aramco, Bayer 和 BASF等公司。自2005年起，朱豫才與錢積新教授小組合作，開發出新一代預測控制技術。

2012年1月朱豫才在CPC VIII (Chemical Process Control 2012, Savannah, GA, USA) 會議上獲得“最慢論文發表獎”，表彰他屢敗屢戰，十多年後終於發表了自己的主要研究成果。

工作研究領域

理論研究：（1）線性和非線性系統辨識；（2）間歇式適應預測控制系統的理論與方法。 套用研究：（1）石化、（煤）化工、電力、鋼鐵等大型工業裝置的控制最佳化和節能減排；（2）磁約束核聚變裝置（Tokamak,托克馬克）的辨識與控制；（3）經濟系統的調控和最佳化。

專利成果

1. “自適應模型預測控制裝置”；專利號：ZL200710119216.X；發明人：朱豫才

2. “非線性過程動態模型辨識方法”；專利號：ZL200810098229.8；發明人：朱豫才

教學工作

System Identification. 系統辨識

出版著作

Zhu, Y.C. and T. Backx (1993).Identification of Multivariable Industrial Processes: for Simulation, Diagnosis and Control. Springer-Verlag,London.

Zhu, Y.C. (2001).Multivariable System Identification for Process Control. Elsevier Science Ltd,Oxford.

(中文版：過程控制的多變數系統辨識，朱豫才著，張湘平等譯，國防科大出版社，2005)

發表論文

學術及工業期刊論文

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 (2012). Towards a low cost and high performance MPC: the role of system identification.Computers & Chemical Engineering. Vol. 51, pp. 124-135.

25. Zhu, Y.C., J. Zhao and R. Patwardhan (2013). Identification ofk-step-ahead prediction error model and MPC control.Journal of Process Control. Vol. 24, pp 48-56.

部分學術會議論文

1. Zhu, Y.C. (1988). On the bounds of the modelling errors of black-box MIMO transfer function estimates. Proceedings of 8th IFAC/IFORS Symposium on Identification and System Parameter Estimation, August 27-31, 1988, Beijing, China, pp. 734-739.
2. Zhu, Y.C. (1991). Identification of processes with periodic disturbances. Proceedings of European Control Conference, Grenoble, July, 1991, pp 2575-2579.
3. Zhu, Y.C. and A.C.P.M. Backx (1991). MIMO process identification for controller design: test signals, nominal model and error bounds. Proceedings of 9th IFAC/IFORS Symposium on Identification and System Parameter Estimation, Budapest, July, 1991, pp. 1202-1207.
4. Zhu, Y.C. and A.C.P.M. Backx (1991). Increasing the performance of FDD via improved identification. Proceedings of IFAC/IMACS Symposium on Fault Detection, Supervision and Safety for Technical Processes, Baden-Baden, September, 1991, pp. 169-173.
5. Zhu, Y.C., A.C.P.M. Backx and P. Eykhoff (1991). Multivariable process identification based on frequency domain measures. Proceedings of 30th IEEE Conference on Decision and Control, Brighton, December, 1991, pp 303-308.
6. Zhu, Y.C. and A. Stoorvogel (1992). Closed loop identification of coprime factors. Proceedings of 31th IEEE Conference on Decision and Control, Tucson, Arizona, USA, December, 1992, pp 453-454.
7. Zhu, Y.C., P. Van Overschee, B. De Moor and L. Ljung (1994). Comparison of three classes of identification methods. Preprints of 10th IFAC Symposium on System Identification, 4-6 July 1994, Copenhagen, Denmark, vol. 1, pp 175-180.
8. Zhu, Y.C. (1994). A frequency domain criterion for MIMO model structure selection. Proceedings of 10th IFAC Symposium on System Identification, 4-6 July 1994, Copenhagen, Denmark, vol. 2, pp 516-521.
9. Zhu, Y.C., M. van Wijck, E. Janssen, A.J.M. Graaf, C.H. van Aalst and L. Kieviet (1997). "Crude unit identification for MPC using ASYM method", Proceedings of American Control Conference, Albuquerque, New Mexico, pp. 3395-3399.
10. Zhu, Y.C. (1998). Hammerstein model identification for control. Proceedings of IEEE CDC98, Dec. 16-18, 1998, Tampa, Florida.
11. Zhu, Y.C. (1999). Distillation column identification using Wiener model. Proceedings of American Control Conference, June 4-6, 1999, San Diego, USA.
12. Zhu, Y.C. (1999). Parametric Wiener model identification for control. Proceedings of IFAC Congress, July 5-9, 1999, Beijing, China.
13. Zhu, Y.C. (2000). On the use of error criteria in identification for control. Proceedings of 12th IFAC Symposium on System Identification, 21-23 June, 2000, Santa Barbara, USA.
14. Stec, P. and Y.C. Zhu (2001). Some study on identification of ill-conditioned processes for control. ?Proceedings of American Control Conference. June 25-27, Arlington, USA.
15. Snow, W. P., K. F. Emigholz and Y.C. Zhu (2001). Increase MPC project efficiency by using a modern identification method. ERTC Computing Conference, 18-20 June, Paris, France.
16. Zhu, Y.C. (2002). Estimation of an N-L-N Hammerstein-Wiener model. Proceedings of IFAC Congress, July, 2002, Barcelona, Spain.
17. Zhu, Y.C. (2002). Estimation of nonlinear ARX models. Proceedings of IEEE CDC, December, Las Vegas, USA.
18. Zhu, Y.C. (2003). New development in industrial MPC identification. Proceedings of International Symposium on Advanced Control of Chemical Processes. 11-14 January, 2004, Hong Kong,?China.
19. Zhu, Y.C. (2003). Robust PID tuning using closed-loop identification.?Proceedings of?International Symposium on Advanced Control of Chemical Processes. 11-14 January, 2004, Hong Kong, China.
20. Zhu, Y.C. (2003). Nonlinear process identification using working-point variable. Proceedings of 13th IFAC Symposium on System Identification, Rotterdam, The Netherlands.
21. Zhu Y.C., E. T. Serrano and S. Weiland (2005). Towards a multivariable auto tuner. Proceedings IFAC Congress, Prague.
22. Zhu, Y.C. and H. Telkamp (2005). System identification using slow and irregular output samples. Proceedings of CDC 2005, Seville, Spain.
23. Zhu, Y.C.(2006). System identification for process control: recent experience and outlook. (Plenary presentation) Proceedings of 14th IFAC Symposium on System Identification, Newcastle, Australia.
24. Zhu, Y. and X. Xu (2008). A method of LPV model identification for control. Proceedings of 17th IFAC World Congress, 6-11 July, 2008, Seoul, Korea.
25. Zhu, Y., X. Xu, J. Zhao, K. Han, J. Qian and W. Li (2008). Development and application of an integrated MPC technology. Proceedings of 17th IFAC World Congress, 6-11 July, 2008, Seoul, Korea.
26. Zhang, X.P., Y.C. Zhu and P. van den Bosch (2009). Improve recursive identification using multi-iteration. Proceedings of 15th IFAC Symposium on System Identification, Saint Malo, France.
27. Zhu, Y. and G.L. Ji (2009). LPV model identification using blended linear models with given weightings. Proceedings of the 15th IFAC Symposium on System Identification, Saint Malo, France.
28. Huang J.Y., G.L. Ji, Y.C. Zhu and W. Lin (2010). Identification and MPC control of a circulation fluidized bed boiler using an LPV model. Proceedings of the 9th International Symposium on Dynamics and Control of Process Systems (DYCOPS 2010), Leuven, Belgium.
29. Zhu, Y.C. (2011). A new adaptive MPC system. Proceedings of The International Symposium on Advanced Control of Industrial Processes (ADCONIP 2011), Hangzhou, China.
30. Zhu, Y.C. (2011). A Box-Jenkins method that is asymptotically globally convergent for open loop data. Proceedings of 17th IFAC World Congress, Milan, Italy.
31. Zhu, Y.C. and R. Patwardhan (2012). Towards a low cost and high performance MPC: the role of system identification. Proceedings of CPC VIII, Chemical Process Control 2012, January 11-13, 2012, Savannah, GA, USA.
32. Huang J.Y., G.L. Ji, Y.C. Zhu and P. van den Bosch (2012). Some study on the identification of multi-model LPV models with two scheduling variables. Proceedings of 16th IFAC Symposium on System Identification, July 11-13, 2012, Brussels.
33. Sun, L. and Y.C. Zhu (2012). New closed-loop identification approach based on output over-sampling scheme. Proceedings of 16th IFAC Symposium on System Identification, July 11-13, 2012, Brussels.
34. Zhu, Y.C., J. Zhao and R. Patwardhan (2014). Some notes on MPC relevant identification.Proceedings of 2014 American Control Conference.