ADAPTIVE FUZZY MODEL BASED PREDICTIVE CONTROL FOR A MULTI-VARIABLE HEATING SYSTEM

George K.I. Mann, Prodyut K. Roy, and Bipul C. Hawlader

References

  1. [1] C.R. Cutler & B. Ramaker, Dynamic matrix control – acomputer control algorithm, Proceedings of the Joint AutomaticControl Conference, 1980.
  2. [2] D.W. Clarke, C. Mohtadi, & P.S. Tuffs, Generalised predictivecontrol – part i: The basic algorithm, Automatica, 23, 1987,137–148.
  3. [3] E.F. Camacho & C. Bordons, Model predictive control (London:Springer-Verlag, 1999).
  4. [4] R. Babuska, Fuzzy modeling for control (Boston: KulwerAcademic Publishers, 1998).
  5. [5] A.A. Patwardhan, J.B. Rawlings, & T.F. Edgar, Nonlinearmodel predictive control, Chemical Engineering Communica-tions, 87, 1990, 123–141.
  6. [6] T. Takagi & M. Sugeno, Fuzzy identification of systems andits application to modeling and control, IEEE Transactionson Systems, Man and Cybernatics, 15, 1985, 116–132.
  7. [7] G. Prasad, E. Swidenbank, & B.W. Hogg, Neural networkmodel-based multivariable predictive control algorithms withapplication in thermal power plant control, Control and Intel-ligent Systems, 27, 1999, 108–131.
  8. [8] M.T. Khadir & J.V. Ringwood, Linear and nonlinear modelpredictive control design for a milk pasteurization plant, Con-trol and Intelligent Systems, 31, 2003, 37–44.
  9. [9] N. Pappa, G. Kaliraj, & J. Shanmugam, Linear and nonlinearmodel predictive control design for a milk pasteurization plant,Control and Intelligent Systems, 33, 2005, 184–189.
  10. [10] J. Abonyi, Fuzzy model identification for control (Boston:Birkh¨auser, 2003).
  11. [11] J.M. Sousa, R. Babuka, & H.B. Verbruggen, Branch and boundoptimization in fuzzy predictive control: An application toan air conditioning system, Control Engineering Practice, 5,1997, 1395–1406.
  12. [12] J.M. Sousa & M. Setnes, Fuzzy predictive filters in modelpredictive control, Transactions on Industrial Electronics, 46,1999, 1225–1232.
  13. [13] J.A. Roubos, S.R. Mollov, R. Babuska, & H.B. Verbruggen,Fuzzy model-based predictive control using takagi-sugeno mod-els, International Journal of Approximate Reasoning, 22, 1999,3–30.
  14. [14] S. Mollov, R. Babuska, J. Abonyi, & H.B. Verbruggen, Ef-fective optimization for fuzzy model predictive control, IEEETransactions on Fuzzy Systems, 12, 2004, 661–675.
  15. [15] B.K. Kavsek, I. Skrjanc, & D. Matko, Fuzzy predictive con-trol of a highly nonlinear ph process, Computer ChemicalEngineering, 21, 1997, S613–S618.
  16. [16] J. Abonyi, L. Nagy, & F. Szeifert, Fuzzy model based predictivecontrol by instantaneous linearization, Fuzzy Sets System, 120,2001, 109–122.
  17. [17] M. Mahfouf, S. Kandiah, & D.A. Linkens, Adaptive estimationfor fuzzy tsk model based predictive control, The Institute ofMeasurement and Control, 23, 2001, 31–50.
  18. [18] H. Eliasi, H. Davilu, & M.B. Menhaj, Adaptive fuzzy modelpredictive control of nuclear steam generators, Nuclear Engi-neering and Design, 237, 2007, 668–676.
  19. [19] P.K. Roy, G.K. Mann, & B.C. Hawlader, Fuzzy rule-adaptivemodel predictive control for a multivariable heating system,Proceedings of the 2005 IEEE Conference on Control Applica-tions, 11, 2005, 260–265.
  20. [20] L. Minghzhong, Y. Yang, G. Furong, & W. Fuli, Fuzzy multi-model based adaptive predictive control and its application tothermoplastic injection moulding, The Canadian Journal ofChemical Engineering, 79, 2001, 263–272.
  21. [21] J. Valente & S. Kadiah, Long range predictive adaptive controlfuzzy relational control, Fuzzy Sets and Systems, 70, 1995,337–367.
  22. [22] R. Boukezzaoula, S. Galichet, & L. Foulloy, Nonlinear internalmodel control: application of inverse model based fuzzy control,IEEE Transactions on Fuzzy Systems, 11, 2003, 814–829.

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