Nonlinear predictive control using neural nets-based local linearization ARX model - Stability and industrial application

IEEE Transactions on Control Systems Technology

Volumn 15, Issue 1, 2007, Pages 130-143

  Peng, Hui ^a   Nakano, Kzushi ^b   Shioya, Hideo ^c  

^a CENTRAL SOUTH UNIVERSITY   (China)

^b UNIVERSITY OF ELECTRO COMMUNICATIONS   (Japan)

^c Bailey Japan Co Ltd   (Japan)

Author keywords

Industrial application; Local linearization; Modeling; Nonlinear system; Predictive control; Radial basis function autoregressive with exogenous (RBF ARX) model; Stability

Indexed keywords

COMPUTER SIMULATION; LINEAR CONTROL SYSTEMS; MATHEMATICAL MODELS; PREDICTIVE CONTROL SYSTEMS; RADIAL BASIS FUNCTION NETWORKS; REGRESSION ANALYSIS;

LOCAL LINEARIZATION; NONSTATIONARY INDUSTRIAL PROCESSES;

NONLINEAR CONTROL SYSTEMS;

EID: 33846116564     PISSN: 10636536     EISSN: None     Source Type: Journal    
DOI: 10.1109/TCST.2006.883339     Document Type: Article

References (23)

1. H. Akaike, "Autoregressive model fitting for control," Annals Inst. Statistical Math., vol. 23, pp. 163-180, Aug. 1971.
2. F. Allgower and A. Zheng, Eds., Nonlinear Model Predictive Control. Basel, Switzerland: Birkhauser, 2000.
3. M. A. Botto, T. J. J. Van Den Boom, A. Krijgsman, and J. S. da Costa, "Predictive control based on neural network models with I/O feedback linearization," Int. J. Contr., vol. 72, pp. 1538-1554, Nov. 1999.
4. H. H. J. Bloemen, T. J. J. Van Den Boom, and H. B. Verbruggen, "Model-based predictive control for Hammerstein-Wiener systems," Int. J. Contr., vol. 74, pp. 482-495, Mar. 2001.
5. D. W. Clarke, C. Mohtadi, and P. S. Tuffs, "Generalized predictive control - Parts I and II," Automatica, vol. 23, pp. 137-160, Mar. 1987.
6. D. W. Clarke, E. Mosca, and R. Scattolini, "Robustness of an adaptive predictive controller," IEEE Trans. Automat. Contr., vol. 39, no. 5, pp. 1052-1056, May 1994.
7. A. Datta, Adaptive Internal Model Control. London: Springer-Verlag, 1998.
8. 1," Electron. Lett., vol. 6, pp. 339-340, May 1970.
9. x selective catalytic reductive control based on simple models," J. Process. Contr., vol. 11, pp. 35-51, Feb. 2001.
10. S. Huang, K. K. Tan, and T. H. Lee, Applied Predictive Control. London, U.K.: Springer-Verlag, 2002.
11. G. Kreisselmeier and B. D. O. Anderson, "Robust model reference adaptive control," IEEE Trans. Autom. Contr., vol. 31, no. 2, pp. 127-133, Feb. 1986.
12. Z. Lakhdari, M. Mokhtari, Y. Lécluse, and J. Provost, "Adaptive predictive control of a class of nonlinear systems - A case study," in Proc. IFAC Adaptive Syst. Contr. Signal Process., 1995, pp. 209-214.
13. G. P. Liu, V. Kadirkamanathan, and S. A. Billings, "Predictive control for non-linear systems using neural networks," Int. J. Contr., vol. 71, pp. 1119-1132, Dec. 1998.
14. M. Mahfouf and D. A. Linkens, "Non-linear generalized predictive control (NLGPC) applied to muscle relaxant anaesthesia," Int. J. Contr., vol. 71, pp. 239-257, Sep. 1998.
15. x device control performance using software sensor," in Proc. 11th IFAC Symp. Syst. Identification, 1997, pp. 1507-1512.
16. O. Nelles, Nonlinear System Identification. Berlin, Germany: Springer-Verlag, 2001.
17. A. W. Ordys and D. W. Clarke, "A state-space description for GPC controllers," Int. J. Syst. Sci., vol. 24, pp. 1727-1744, Sep. 1993.
18. x decomposition process," Contr. Eng. Practice, vol. 12, pp. 191-203, Feb. 2004.
19. H. Peng, T. Ozaki, V. Haggan-Ozaki, and Y. Toyoda, "A parameter optimization method for the radial basis function type models," IEEE Trans. Neur. Netw., vol. 14, no. 3, pp. 432-438, Mar. 2003.
20. H. Peng, T. Ozaki, Y. Toyoda, and K. Nakano, "Nonlinear system modeling by using the RBF neural network-based regressive model," in Proc. 13th IFAC Symp. Syst. Identification, 2003, pp. 348-353.
21. x decomposition process with operating-point dependent dynamics," Trans. IEE Jpn., vol. 122-C, pp. 1940-1946, Nov. 2002.
22. G. Prasad, E. Swidenbank, and B. W. Hogg, "A local model networks based multivariable long-range predictive control strategy for thermal power plants," Automatica, vol. 34, pp. 1185-1204, Oct. 1998.
23. G. Sentoni, O. Agamennoni, A. Desages, and J. Romagnoli, "Approximate models for nonlinear process control," AIChE J., vol. 42, pp. 2240-2250, Aug. 1996.