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Year 2006, Volume: 6 Issue: 2, 129 - 138, 02.01.2012

Abstract

References

  • Camacho, E.F. Model predictive control, Springer Verlag, 1998.
  • Garcia, C.E., Prett, D.M., and Morari, M. Model predictive control: theory and practice- a survey, Automatica, 25(3), pp.335-348, 1989.
  • Badgwell, A.B., Qin, S.J. Review of nonlinear model predictive control applications, In Nonlinear predictive control theory and practice, Kouvaritakis, B, Cannon, M (Eds.), IEE Control Series, pp.3-32, 2001.
  • Parker, R.S., Gatzke E.P., Mahadevan, R., Meadows, E.S., and Doyle, F.J. Nonlinear model predictive control: issues and applications, In Nonlinear predictive control theory and practice, Kouvaritakis, B, Cannon, M (Eds.), IEE Control Series, pp.34-57, 2001.
  • Babuska, R., Botto, M.A., Costa, J.S.D., and Verbruggen, H.B. Neural and fuzzy modeling on nonlinear predictive control, a comparison study, Computatioinal Engineering in Systems Science, July, 1996.
  • Nelles, O. Nonlinear system identification: from classical approach to neuro-fuzzy identification, Springer Verlag, 2001.
  • Narendra, K. S., and Parthasarathy, K., Identification and control of dynamic systems using neural networks. IEEE Transactions on Neural Networks, 1, pp.4–27, 1990.
  • Arahal, M.R., Berenguel, M., and Camacho, E.F. Neural identification applied to predictive control of a solar plant, Con. Eng. Prac. 6(3), pp.333-344, 1998.
  • Lennox, B., and Montague, G. Neural network control of a gasoline engine with rapid sampling, In Nonlinear predictive control theory and practice, Kouvaritakis, B, Cannon, M (Eds.), IEE Control Series, pp.245-255, 2001.
  • Petrovic, I., Rac, Z., and Peric, N. Neural network based predictive control of electrical drives with elastic transmission and backlash, Proc. EPE2001, Graz, Austria, 2001.
  • Tan, Y. and Cauwenberghe, A. Non-linear one step ahead control using neural networks: control strategy and stability design, Automatica (12), pp.1701-1706, 1996.
  • Temeng, H., Schenelle, P. and McAvoy, T. Model predictive control of an industrial packed bed reactor using neural networks, J. Proc. Control 5(1), pp.19-28, 1995.
  • Zamarrano, J.M., Vega, P. Neural predictive control. Application to a highly nonlinear system, Engineering Application of Artificial Intelligence, 12(2), pp.149-158, 1999.
  • Draeger, A., Engel, S., and Ranke, H., Model predictive control using neural networks, IEEE Control System Magazine, 15, pp.61–66, Gomm, J. B., Evans, J. T., and Williams, D., Development and performance of a neural network predictive controller. Control Engineering Practice, 5(1), pp.49–60, 1997.
  • Diyaz, G., Sen, M., Yang, K.T., McClain, R.L., Simulation of heat exchanger performance by artificial neural networks, Int. J. HVAC and R Res., 5 (3), pp.195-208, 1999.
  • Ayoubi, M., Dynamic multi-layer perception networks: application to the nonlinear identification and predictive control of a heat exchanger, in: Applications of Neural Adaptive Control Technology, World Scientific series in Robotics and Intelligent Systems, 17, pp.205- , 1997.
  • Renotie, C., Wouwer, A.V. and Remy, M. Neural modeling and control of a heat exchanger based on SPSA techniques, Proc. American Control Conference, Illinois, pp.3299-3303,
  • Bittanti, S. and Piroddi, L. Nonlinear identification and control of a heat exchanger: a neural network approach, Journal of the Franklin Institute, 1996.
  • Lim, K.W. and Ling, K.V. generalized predictive control of a heat exchanger, IEEE Control System Magazine, pp.9-12, 1989.
  • Parte, M.P. and Camacho, E.F. Application of a predictive sliding mode controller to a heat exchanger, Application, Glasgow, Scotland, pp.1219-1224,
  • Skrijave, I. and Matko, D. Predictive functional control based on fuzzy model for heat exchanger pilot plant, IEEE Trans. Fuzzy Systems, 8(6), pp.705-812, 2000.
  • Nelles, O. and R. Isermann (1996). Basis function networks for interpolation of local linear models. In: IEEE Conference on Decision and Control (CDC). Kobe, Japan. pp. 470–475 http://www.esat.kuluven.ac.be/~tokka/daisy data.html
  • Liu, G.P., 2001, Nonlinear Identification and Control: A Neural Network Approach, Springer
  • Hunt, K.J., Sbarbaro, D., Zbikowski, R., Gawthrop, P.J., (1992). Neural networks for control system—A survey. Automatica, 28, pp.1083–1112.
  • Takahashi, Y., (1993). Adaptive predictive control of nonlinear time varying system using neural network, in Proc. IEEE International
  • Symposium on Neural Networks, pp.1464–1468.
  • Montague, G.A., Willis, M.J., Tham, M.T., Morris, A.J., (1991). Artificial neural network based control. International Conference on Control, pp.266–271.

PREDICTIVE CONTROL OF A HEATEXCHANGER BASED ON LOCAL FUZZY MODELS AND NEURAL NETWORKS

Year 2006, Volume: 6 Issue: 2, 129 - 138, 02.01.2012

Abstract

PREDICTIVE CONTROL OF A HEATEXCHANGER BASED ON LOCAL FUZZY MODELS AND NEURAL NETWORKS

References

  • Camacho, E.F. Model predictive control, Springer Verlag, 1998.
  • Garcia, C.E., Prett, D.M., and Morari, M. Model predictive control: theory and practice- a survey, Automatica, 25(3), pp.335-348, 1989.
  • Badgwell, A.B., Qin, S.J. Review of nonlinear model predictive control applications, In Nonlinear predictive control theory and practice, Kouvaritakis, B, Cannon, M (Eds.), IEE Control Series, pp.3-32, 2001.
  • Parker, R.S., Gatzke E.P., Mahadevan, R., Meadows, E.S., and Doyle, F.J. Nonlinear model predictive control: issues and applications, In Nonlinear predictive control theory and practice, Kouvaritakis, B, Cannon, M (Eds.), IEE Control Series, pp.34-57, 2001.
  • Babuska, R., Botto, M.A., Costa, J.S.D., and Verbruggen, H.B. Neural and fuzzy modeling on nonlinear predictive control, a comparison study, Computatioinal Engineering in Systems Science, July, 1996.
  • Nelles, O. Nonlinear system identification: from classical approach to neuro-fuzzy identification, Springer Verlag, 2001.
  • Narendra, K. S., and Parthasarathy, K., Identification and control of dynamic systems using neural networks. IEEE Transactions on Neural Networks, 1, pp.4–27, 1990.
  • Arahal, M.R., Berenguel, M., and Camacho, E.F. Neural identification applied to predictive control of a solar plant, Con. Eng. Prac. 6(3), pp.333-344, 1998.
  • Lennox, B., and Montague, G. Neural network control of a gasoline engine with rapid sampling, In Nonlinear predictive control theory and practice, Kouvaritakis, B, Cannon, M (Eds.), IEE Control Series, pp.245-255, 2001.
  • Petrovic, I., Rac, Z., and Peric, N. Neural network based predictive control of electrical drives with elastic transmission and backlash, Proc. EPE2001, Graz, Austria, 2001.
  • Tan, Y. and Cauwenberghe, A. Non-linear one step ahead control using neural networks: control strategy and stability design, Automatica (12), pp.1701-1706, 1996.
  • Temeng, H., Schenelle, P. and McAvoy, T. Model predictive control of an industrial packed bed reactor using neural networks, J. Proc. Control 5(1), pp.19-28, 1995.
  • Zamarrano, J.M., Vega, P. Neural predictive control. Application to a highly nonlinear system, Engineering Application of Artificial Intelligence, 12(2), pp.149-158, 1999.
  • Draeger, A., Engel, S., and Ranke, H., Model predictive control using neural networks, IEEE Control System Magazine, 15, pp.61–66, Gomm, J. B., Evans, J. T., and Williams, D., Development and performance of a neural network predictive controller. Control Engineering Practice, 5(1), pp.49–60, 1997.
  • Diyaz, G., Sen, M., Yang, K.T., McClain, R.L., Simulation of heat exchanger performance by artificial neural networks, Int. J. HVAC and R Res., 5 (3), pp.195-208, 1999.
  • Ayoubi, M., Dynamic multi-layer perception networks: application to the nonlinear identification and predictive control of a heat exchanger, in: Applications of Neural Adaptive Control Technology, World Scientific series in Robotics and Intelligent Systems, 17, pp.205- , 1997.
  • Renotie, C., Wouwer, A.V. and Remy, M. Neural modeling and control of a heat exchanger based on SPSA techniques, Proc. American Control Conference, Illinois, pp.3299-3303,
  • Bittanti, S. and Piroddi, L. Nonlinear identification and control of a heat exchanger: a neural network approach, Journal of the Franklin Institute, 1996.
  • Lim, K.W. and Ling, K.V. generalized predictive control of a heat exchanger, IEEE Control System Magazine, pp.9-12, 1989.
  • Parte, M.P. and Camacho, E.F. Application of a predictive sliding mode controller to a heat exchanger, Application, Glasgow, Scotland, pp.1219-1224,
  • Skrijave, I. and Matko, D. Predictive functional control based on fuzzy model for heat exchanger pilot plant, IEEE Trans. Fuzzy Systems, 8(6), pp.705-812, 2000.
  • Nelles, O. and R. Isermann (1996). Basis function networks for interpolation of local linear models. In: IEEE Conference on Decision and Control (CDC). Kobe, Japan. pp. 470–475 http://www.esat.kuluven.ac.be/~tokka/daisy data.html
  • Liu, G.P., 2001, Nonlinear Identification and Control: A Neural Network Approach, Springer
  • Hunt, K.J., Sbarbaro, D., Zbikowski, R., Gawthrop, P.J., (1992). Neural networks for control system—A survey. Automatica, 28, pp.1083–1112.
  • Takahashi, Y., (1993). Adaptive predictive control of nonlinear time varying system using neural network, in Proc. IEEE International
  • Symposium on Neural Networks, pp.1464–1468.
  • Montague, G.A., Willis, M.J., Tham, M.T., Morris, A.J., (1991). Artificial neural network based control. International Conference on Control, pp.266–271.
There are 27 citations in total.

Details

Primary Language English
Journal Section Articles
Authors

S. SHAMS ABBAD Farahanı This is me

M.A. Nekouı This is me

A. YAZDANPANAH-GOHARRIZI Yazdanpanah-goharrızı This is me

Publication Date January 2, 2012
Published in Issue Year 2006 Volume: 6 Issue: 2

Cite

APA Farahanı, S. S. A., Nekouı, M., & Yazdanpanah-goharrızı, A. Y.-G. (2012). PREDICTIVE CONTROL OF A HEATEXCHANGER BASED ON LOCAL FUZZY MODELS AND NEURAL NETWORKS. IU-Journal of Electrical & Electronics Engineering, 6(2), 129-138.
AMA Farahanı SSA, Nekouı M, Yazdanpanah-goharrızı AYG. PREDICTIVE CONTROL OF A HEATEXCHANGER BASED ON LOCAL FUZZY MODELS AND NEURAL NETWORKS. IU-Journal of Electrical & Electronics Engineering. January 2012;6(2):129-138.
Chicago Farahanı, S. SHAMS ABBAD, M.A. Nekouı, and A. YAZDANPANAH-GOHARRIZI Yazdanpanah-goharrızı. “PREDICTIVE CONTROL OF A HEATEXCHANGER BASED ON LOCAL FUZZY MODELS AND NEURAL NETWORKS”. IU-Journal of Electrical & Electronics Engineering 6, no. 2 (January 2012): 129-38.
EndNote Farahanı SSA, Nekouı M, Yazdanpanah-goharrızı AY-G (January 1, 2012) PREDICTIVE CONTROL OF A HEATEXCHANGER BASED ON LOCAL FUZZY MODELS AND NEURAL NETWORKS. IU-Journal of Electrical & Electronics Engineering 6 2 129–138.
IEEE S. S. A. Farahanı, M. Nekouı, and A. Y.-G. Yazdanpanah-goharrızı, “PREDICTIVE CONTROL OF A HEATEXCHANGER BASED ON LOCAL FUZZY MODELS AND NEURAL NETWORKS”, IU-Journal of Electrical & Electronics Engineering, vol. 6, no. 2, pp. 129–138, 2012.
ISNAD Farahanı, S. SHAMS ABBAD et al. “PREDICTIVE CONTROL OF A HEATEXCHANGER BASED ON LOCAL FUZZY MODELS AND NEURAL NETWORKS”. IU-Journal of Electrical & Electronics Engineering 6/2 (January 2012), 129-138.
JAMA Farahanı SSA, Nekouı M, Yazdanpanah-goharrızı AY-G. PREDICTIVE CONTROL OF A HEATEXCHANGER BASED ON LOCAL FUZZY MODELS AND NEURAL NETWORKS. IU-Journal of Electrical & Electronics Engineering. 2012;6:129–138.
MLA Farahanı, S. SHAMS ABBAD et al. “PREDICTIVE CONTROL OF A HEATEXCHANGER BASED ON LOCAL FUZZY MODELS AND NEURAL NETWORKS”. IU-Journal of Electrical & Electronics Engineering, vol. 6, no. 2, 2012, pp. 129-38.
Vancouver Farahanı SSA, Nekouı M, Yazdanpanah-goharrızı AY-G. PREDICTIVE CONTROL OF A HEATEXCHANGER BASED ON LOCAL FUZZY MODELS AND NEURAL NETWORKS. IU-Journal of Electrical & Electronics Engineering. 2012;6(2):129-38.