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Supervisory predictive control and on-line set-point optimization Cover

Supervisory predictive control and on-line set-point optimization

International Journal of Applied Mathematics and Computer Science
Volume 20 (2010): Issue 3 (September 2010)
By:   
Open Access
|Sep 2010
References

References

  1. Allgöwer, F., Badgwell, T., Qin, J., Rawlings, J. and Wright, S. (1999). Nonlinear predictive control and moving horizon estimation—An introductory overview,P. Frank (Ed.),, Springer, London, Chapter 12.
    Open DOISearch in Google Scholar
  2. Bemporad, A. (1998). Reference governor for constrained nonlinear systems,(3): 415-419.
    Open DOISearch in Google Scholar
  3. Bemporad, A. and Morari, M. (1999). Robust model predictive control: A survey,A. Garulli, A. Tesi and A. Vicino (Eds.),, Lecture Notes in Control and Information Sciences, Vol. 245, Springer, New York, NY.
    Open DOISearch in Google Scholar
  4. Bemporad, A., Morari, M., Dua, V. and Pistikopoulos, E. (2002). The explicit linear-quadratic regulator for constrained systems,(1): 3-20.
    Open DOISearch in Google Scholar
  5. Blevins, T. L., McMillan, G. K., Wojsznis, W. K. and Brown, M. W. (2003)., ISA Society, Research Triangle Park, NC.
    Search in Google Scholar
  6. Brdys, M. A. and Chang, T. (2001). Robust model predictive control of chlorine residuals in water systems based on a state space modeling,B. Ulanicki, B. Coulbeck and J. Rance (Eds.),, Research Studies Press, Baldock.
    Search in Google Scholar
  7. Brdys, M. and Tatjewski, P. (2005)., Imperial College Press/World Scientific, London/Singapore.
    Open DOISearch in Google Scholar
  8. Camacho, E. and Bordons, C. (1999)., Springer, London.
    Open DOISearch in Google Scholar
  9. Deinrych, P., Szumski, A., Brdys, M. A., Grochowski, M. and Szczygielski, P. (2007). Softly switched robustly feasible mpc for constrained linear systems under set bounded uncertainty,, (on CD-ROM).
    Open DOISearch in Google Scholar
  10. Diehl, M. and Bjornberg, J. (2004). Robust dynamic programming for minmax model predictive control of constrained uncertain systems,(12): 2253-2257.
    Open DOISearch in Google Scholar
  11. DoyleIII, F. J., Ogunnaike, B. A. and Pearson, R. K. (1995). Non-linear model-based control using second-order Volterra models,(5): 669-714.
    Open DOISearch in Google Scholar
  12. Feng, G. and Lozano, R. (1999)., Newness, Oxford.
    Search in Google Scholar
  13. Findeisen, W. (1997)., Warsaw University of Technology Press, Warsaw, (in Polish).
    Search in Google Scholar
  14. Findeisen, W., Bailey, F. N., Brdyś, M., Malinowski, K., Tatjewski, P. and Woźniak, A. (1980)., J. Wiley & Sons, Chichester/New York, NY/Brisbane/Toronto.
    Search in Google Scholar
  15. Goodwin, G. C., Graebe, S. F. and Salgado, M. E. (2001)., Prentice Hall, Upper Saddle River, NJ.
    Search in Google Scholar
  16. Haseltine, E. L. and Rawlings, J. B. (2005). Critical evaluation of extended Kalman filtering and moving horizon estimation,(5): 2451-2460.
    Open DOISearch in Google Scholar
  17. Jeong, S. C. and Park, P. (2002). Output-feedback robust adaptive receding horizon controller design,
    Search in Google Scholar
  18. Kassmann, D. E., Badgwell, T. and Hawkins, R. (2000). Robust steady-state target calculation for model predictive control,(5): 1007-1024.
    Open DOISearch in Google Scholar
  19. Kerrigan, E. and Maciejowski, J. (2004). Feedback minmax model predictive control using a single linear program: Robust stability and the explicit solution,(4): 395-413.
    Open DOISearch in Google Scholar
  20. Ławryńczuk, M., Marusak, P. and Tatjewski, P. (2007). Multilevel and integrated structures for predictive control and economic optimisation,, (on CD-ROM).
    Open DOISearch in Google Scholar
  21. Ławryńczuk, M., Marusak, P. and Tatjewski, P. (2008). Cooperation of model predictive control with steady-state economic optimisation,(1): 133-158.
    Search in Google Scholar
  22. Ławryńczuk, M., Marusak, P. and Tatjewski, P. (2009a). Integrated predictive optimizer and constraint supervisor for processes with basic feedback control,, pp. 3359-3364.
    Search in Google Scholar
  23. Ławryńczuk, M., Marusak, P. and Tatjewski, P. (2009b). On cooperation of set-point optimisation and predictive control based on hammerstein models,, (on CD-ROM).
    Search in Google Scholar
  24. Ławryńczuk, M. and Tatjewski, P. (2010). Nonlinear predictive control based on neural multi-models,(1): 7-21, DOI: 10.2478/v10006-010-001-y.
    Search in Google Scholar
  25. Lee, J. and Yu, Z. (1997). Worst-case formulations of model predictive control for systems with bounded parameters,(5): 763-781.
    Open DOISearch in Google Scholar
  26. Lefkowitz, I. (1966). Multilevel approach applied to control system design,(Ser. B2): 392-398.
    Search in Google Scholar
  27. Maciejowski, J. (2002)., Prentice Hall, Harlow.
    Search in Google Scholar
  28. Marlin, T. E. (1995)., McGraw-Hill, New York, NY.
    Search in Google Scholar
  29. Marusak, P. and Tatjewski, P. (2008). Actuator fault tolerance in control systems with predictive constrained set-point optimizers,(4): 539-551, DOI: 10.2478/v10006-008-0047-2.
    Open DOISearch in Google Scholar
  30. Marusak, P. and Tatjewski, P. (2009). Effective dual-mode fuzzy dmc algorithms with on-line quadratic optimization and guaranteed stability,(1): 127-141, DOI: 10.2478/v10006/009-0012-8.
    Search in Google Scholar
  31. Mayne, D., Rawlings, J., Rao, C. and Scokaert, P. (2000). Constrained model predictive control: Stability and optimality,(6): 789-814.
    Open DOISearch in Google Scholar
  32. Mesarović, M. D., Macko, D. and Takahara, Y. (1970)., Academic Press, New York, NY.
    Search in Google Scholar
  33. Qin, S. and Badgwell, T. (2003). A survey of industrial model predictive control technology,(7): 733-764.
    Open DOISearch in Google Scholar
  34. Rao, V., Rawlings, J. B. and Mayne, D. Q. (2003). Constrained state estimation for nonlinear discrete-time systems: Stability and moving horiozon approximations,(2): 246-258.
    Open DOISearch in Google Scholar
  35. Roberts, P. (1979). An algorithm for steady-state optimization and parameter estimation,: 719-734.
    Open DOISearch in Google Scholar
  36. Rossiter, J. (2003)., CRC Press, Boca Raton, FL/London/New York, NY/Washington, DC.
    Search in Google Scholar
  37. Saez, D., Cipriano, A. and Ordys, A. W. (2002)., Springer, London.
    Open DOISearch in Google Scholar
  38. Scokaert, P. and Mayne, D. (1998). Minmax feedback model predictive control for constrained linear systems,(8): 1136-1142.
    Open DOISearch in Google Scholar
  39. Skogestad, S. (2000). Plantwide control: the search for the self-optimizing control structure,(5): 487-507.
    Open DOISearch in Google Scholar
  40. Skogestad, S. (2004). Control structure design for complex chemical plants,(1-2): 219-234.
    Open DOISearch in Google Scholar
  41. Sztyber, K. (2008)., Ph.D. thesis, Warsaw University of Technology, Warsaw, (in Polish).
    Search in Google Scholar
  42. Tatjewski, P. (2007)., Springer, London.
    Search in Google Scholar
  43. Tatjewski, P. (2008). Advanced control and on-line process optimization in multilayer structures,(1): 71-85.
    Open DOISearch in Google Scholar
  44. Tatjewski, P. and Ławryńczuk, M. (2006). Soft computing in model-based predictive control,(1): 7-26.
    Search in Google Scholar
  45. Tatjewski, P., Ławryńczuk, M. and Marusak, P. (2006). Linking nonlinear steady-state and target set-point optimization for model predictive control,, (on CD-ROM).
    Search in Google Scholar
  46. Tondell, P., Johansen, T. A. and Bemporad, A. (2003). An algotithm for multiparametric quadratic programming and explicit mpc solutions,(3): 489-497.
    Open DOISearch in Google Scholar
  47. Tran, V. N. and Brdys, M. A. (2009). Optimizing control by robustly feasible model predictive control and application to drinking water distribution systems,, Lecture Notes in Computer Science, Vol. 5769, Springer, Berlin/Heidelberg.
    Search in Google Scholar
  48. Wang, Y. (2002)., Ph.D. thesis, University of Wisconsin-Madison, Madison, WI.
    Search in Google Scholar
  49. Zanin, A., de Gouvea, M. T. and Odloak, D. (2002). Integrating real-time optimization into model predictive controller of the FCC system,(8): 819-831.
    Open DOISearch in Google Scholar
  50. Zheng, A., Mahajanam, R. V. and Douglas, J. M. (1999). Hierarchical procedure for plantwide control system synthesis,(6): 1255-1265.
    Open DOISearch in Google Scholar
DOI: https://doi.org/10.2478/v10006-010-0035-1 | Journal eISSN: 2083-8492 | Journal ISSN: 1641-876X
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Language: English
Page range: 483 - 495
Published on: Sep 27, 2010
Published by: University of Zielona Góra
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
Keywords:
predictive control,
nonlinear control,
linearization,
model uncertainty,
constrained control,
set-point optimization
Related subjects:
Mathematics,
Applied mathematics

© 2010 Piotr Tatjewski, published by University of Zielona Góra
This work is licensed under the Creative Commons License.

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