A case study for fuzzy adaptive multiple models predictive control strategy

IEEE International Symposium on Industrial Electronics

Volumn , Issue , 2009, Pages 1172-1177

  Mazinan, A H ^a   Sadati, N ^b   Ahmadi Noubari, H ^c  

^a ISLAMIC AZAD UNIVERSITY   (Iran)

^b SHARIF UNIVERSITY OF TECHNOLOGY   (Iran)

^c UNIVERSITY OF TEHRAN   (Iran)

Author keywords

[No Author keywords available]

Indexed keywords

BEST MODEL; CONTROL SCHEMES; CONTROL STRATEGIES; FUZZY ADAPTIVE; FUZZY ADAPTIVE KALMAN FILTERS; GENERALIZED PREDICTIVE CONTROL; INTELLIGENT DECISIONS; LINEAR MODEL; MULTIPLE MODELS; OPERATING ENVIRONMENT; PREDICTIVE CONTROL; PREDICTIVE CONTROL STRATEGY; TUBULAR HEAT EXCHANGERS;

FUZZY FILTERS; INDUSTRIAL ELECTRONICS; PREDICTIVE CONTROL SYSTEMS;

MODEL PREDICTIVE CONTROL;

EID: 77950132287     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ISIE.2009.5217435     Document Type: Conference Paper

References (39)

1. A. H. Mazinan and N. Sadati, "Fuzzy predictive control based multiple models strategy for a tubular heat exchanger system ," Applied Intelligence Journal, Springe r Publishe r, In Press, Available online Feb. 4, 2009.
2. A. H. Mazinan and N. Sadati, "Fuzzy multip le models predictive control of tubular heat exchanger," in Proc. of IEEE World Congress on Computational Intelligence, pp. 1845- 1852, 2008.
3. A. H. Mazinan and N. Sadati, "Multiple modeling and fuzzy predictive control of a tubular heat exchanger system", Transactions on Systems and Control, vol. 3, pp. 249-258, 2008.
4. A. H. Mazinan and N. Sadati, "Fuzzy multiple modeling and fuzzy predictive control of a tubular heat exchanger system," International Conference on Application of Electrical Engineering, pp. 77-81, 2008.
5. A. H. Mazinan and N. Sadati, "Fuzzy multiple modeling and fuzzy predictive control of a tubular heat exchanger system ," International Conference on Robotics, Control and Manufacturing Technology, pp. 93-97, 2008.
6. J. B. Rawlings, "Tutorial overview of model predictive control," IEEE Control Systems Magazine, vol. 3, pp. 38-52, 2000.
7. A. Flores, D. Saez, J. Araya, M. Berenguel and A. Cipriano, "Fuzzy predictive control of a solar power plant," IEEE Transactions on Fuzzy Systems, vol. 1, pp. 58-68, 2005.
8. J. M. D. C. Sousa and U. Kaymak, "Model prediction control using fuzzy decision functions," IEEE Transactions on System , Man and Cybernetics - part B: Cybernetics, vol. 1, pp. 54-65, 2001.
9. F. Allgower and A. Zheng, "Nonlinear model predictive control," Birkhauser Verlag, Germany, 2000.
10. L. Xia, J. A. DeAbreu-Garcia and T. T. Hartley, "Modeling and simulation of a heat exchanger," in Proc. of the IEEE International Conference on System Engineering, pp. 453-456, 1991.
11. J. Guerci and E. Feria, "Multi-model predictive transform estimation," in Proc. of Aerospace and Electronics Conference, pp. 119-125, 1991.
12. L. Ning, L. Shao-Yuan and X. Yu-Geng, "Multi-model predictive control based on the Takagi-Sugeno fuzzy models: A case study," in Proc. of IEEE Confere nce on Information Science, pp. 247-263, 2004.
13. N. Wang, "A fuzzy PlD controller for multi-model plant," in Proc. of IEEE Conference on Machine Learning and Cybernetics, pp. 1401-1406, 2002.
14. G. Qi-Gang, W. Dong-Feng , H. Pu and L. Bi-Hua, "Multi-model GPC for steam temperature system of circulating fluidized bed boiler," in Proc. of IEEE International Conference on Machine Learning and Cybernetics, vol. 2, pp. 906-911, 2003.
15. N. Sadati, M. Bagherpour and R. Ghadami, "Adaptive multi-model CMAC-based supervisory control for uncertain MIMO systems," in Proc. of the 17th IEEE International Conference on Tools with Artificial Intelligence, Hong Kong, China, pp. 457-461, 2005.
16. R. Bakhshandeh, "Multiple inputs-multiple outputs adaptive predictive control of a tubular heat exchanger system," Electrical Engineering Department, Sharif University of Technology, M.Sc. Thesis, 1994 [in Persian].
17. I. Skrjanc and D. Matko, "Predictive functional control based on fuzzy model for heat-exchanger pilot plant," IEEE Transactions on Fuzzy Systems, vol. 8, pp. 705-711, 2000.
18. D. Matko, K. Kavsek-Biasizzo, I. Skrjanc and G. Music, "Generalized predictive control of a thermal plant using fuzzy model," in Proc. of the American Control Conference, vol. 3, pp. 2053-2057, 2000.
19. N. Abe, K. Seki and H. Kanoh, "Two degree of freedom internal model control for single tubular heat exchanger system," in Proc. of the IEEE International Symposium on Industrial Electronics, vol. 1, pp. 260-265, 1996.
20. M. H. R. Fazlur Rahman and R. Devanathan, "Feedback linearisation of a heat exchanger," in Proc. of the 33rd IEEE International Conference on Decision and Control, vol. 3, pp. 2936-2937, 1994.
21. M. H. R. Fazlur Rahman and R. Devanathan, "Modeling and dynamic feedback linearization of a heat exchanger," in Proc. of the Third IEEE International Conference on Control Applications, vol. 3, pp. 1801-1806, 1994.
22. N. Sadati and A. Talasaz, "Robust fuzzy multimodel control using variable structure system," in Proc. of IEEE Conference on Cybernetics and Intelligent Systems, vol. 1, pp. 497-502, 2004.
23. N. Sadati, R. Ghadami and M. Bagherpour, "Adaptive neural network multiple models sliding mode control of robotic manipulators using soft switching," in Proc. of the 17th IEEE International Conference on Tools with Artificial Intelligence, pp. 431-438, 2005.
24. K. J. Astrom and B. Wittenmark, Adaptive Control, Addison-Wesley, Longman Publishing, New Jersey, 1995.
25. D. Saez and A. Cipriano, "Design of fuzzy model based predictive controller and its application to an inverted pendulum," in Proc. of the Sixth IEEE International Conference on Fuzzy Systems, vol. 2, pp. 915-919, 1997.
26. M. L. Hadjili, V. Wertz and G. Scorletti, "Fuzzy model-based predictive control," in Proc. of IEEE Decision and Control, vol. 3, pp. 2927-2929, 1998.
27. S. Huang, K. K. Tan and T. H. Lee, Applied Predictive Control, Springer-Verlag, London, 2002.
28. D. W. Clarke, "Application of generalized predictive control to industrial processes," IEEE Control Systems Magazine, pp. 49-55, 1988.
29. J. M. Sousa, "Optimization issues in predictive control with fuzzy objective functions," International Journal of Intelligent System, vol. 15, pp. 879-899, 2000.
30. J. M. Zamarreno and P. Vega, "Neural predictive control application to a highly non-linear system," Engineering Applications of Artificial Intelligence, vol. 12, pp. 149-158, 1999.
31. K. G. Gadkar, F. J. Doyle III, T. J. Crowley and J. D. Varner, "Cybernetic model predictive control of a continuous bioreactor with cell recycle," Biotechnology Progress, vol. 19, pp. 1487-1497, 2003.
32. Z. Ding, H. Leung and K. Chan, "Model-Set adaptation using a fuzzy Kalman filter," in Proc. of the Third International IEEE Conference on Information Fusion, vol. 1, pp. 2-9, 2000.
33. Z. San-Tong and W. Xue-Ye, "Fuzzy adaptive Kalman filtering for DRlGPS," in Proc. of IEEE Conference on Machine Learning and Cybernetics, vol. 5, pp. 2634-2637, 2003.
34. J. Z. Sasiadek and Q. Wang, "Sensor fusion based on fuzzy Kalman filtering for autonomous robot vehicle," in Proc. of IEEE Conference on Robotics and Automation, vol. 4, pp. 2970-2975, 1999.
35. Y. A. Cengel and R. H. Turner, Fundamentals of Thermal Fluid Sciences, second edition, McGraw-Hill, 2004.
36. P. Saha, S. H. Krishnan, V. S. R. Rao and S. C. Patwardhan, "Modeling and predictive control of MIMO nonlinear systems using Wiener-Laguerre models," Chemical Engineering, Communications, vol. 8, pp. 1083-1120, 2004.
37. E. Franco, S. Sacone and T. Parisini, "Practically stable nonlinear receding-horizon control of multi-model systems," in Proc. of IEEE Conference on Decision and Control, vol. 3, pp. 3241-3246, 2004.
38. M. M. Arefi, A. Montazeri, J. Poshtan and M. R. Jahed-Motlagh, "Nonlinear model predictive control of chemical processes with a Wiener identification approach," in Proc. of IEEE Conference on Industrial Technology, pp. 1735-1740, 2006.
39. A. Rueda, S. Cristea, C. D. Prada and R. D. Keyser, "Non-linear predictive control for a distillation column," in Proc. of 44th IEEE Conference on Descision and Control, pp. 5156-5161, 2005.