Parametric versus nonparametric models in MPC process identification

Hydrocarbon Processing

Volumn 79, Issue 2, 2000, Pages 65-72

  Zhu, Y ^a   Arrieta, E ^b   Butoyi, F ^c   Cortes, F ^d  

^a EINDHOVEN UNIVERSITY OF TECHNOLOGY   (Netherlands)

^b DOW CHEMICAL COMPANY   (United States)

^c DOW BENELUX B V   (Netherlands)

^d Dow Chemical Iberica SA   (Spain)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 0034143963     PISSN: 00188190     EISSN: None     Source Type: Trade Journal    
DOI: None     Document Type: Article

References (10)

1. Richalet, J. (1993), Industrial applications of modal based predictive control," Automation, Vol. 29, No. 5, pp. 1261-1274.
2. Zhu, Y. G. (1898;, Multivariable process identification for MPC: tho asymptotic method and its applications," Journal of Process Control, Vol. S, Ko. '2, pp. 101-115.
3. Zhu, Y. C., S. Strand and L. H. Veland (1999), Closed-loop process identification for MPC using ASYM," In preparation.
4. loung, L. (1987), System Identification: Theon for ;ht User, Prentice-Hall, Englewcod Cliffä, N.J.
5. Zhu, Y. C. (1989), Black-box identification of MHV1O transfer fonctions: asymptotic properties of prediction error modeU," Int. J, Adaptive Control and Signal Processing, Vol. 3, pp. 367-373.
6. Zhu, Y. C. and T. Bactot (1993), Identification ofMultivariablt Industrial Processes.- for Simulation, Diagnmia and Control, Springer-Verlag, London.
7. Ljung: L. End Z.D. Yuan (19B5), Asymptotic properties of black-box identification of transfer functions," IEEE Irons. Autom. Control, Vol. AC-30, pp.S14-5SO.
8. Zhu, Y C. ar.d 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.
9. Cuucr, C. H. and K. B. Hawkins (1988), Application of a large predictive niultivariable controller to a hydrocracker second stage reactor." Proceedings Gf American Control Conference, pp. 284-291.
10. Hjataarsson, H. M. and Gevers, F. de Bruyne (1996), For model-based control design, closed-loop identification gives better performance," Automatisa, Vol. 32. No. 12, pp. 1659-1873.