Adaptive neural model-based predictive control with steady state offset compensation for a Distributed Solar Collector field

Proceedings of 2003 International Conference on Neural Networks and Signal Processing, ICNNSP'03

Volumn 1, Issue , 2003, Pages 283-288

  Gil, P ^a,b   Henriques, J ^a   Carvalho, P ^a   Duarte Ramos, H ^b   Dourado, A ^a  

^a UNIVERSITY OF COIMBRA   (Portugal)

^b UNIVERSIDADE NOVA DE LISBOA   (Portugal)

Author keywords

[No Author keywords available]

Indexed keywords

ADAPTIVE NEURAL MODELS; CONSTRAINED MODELS; CONTROL LOOP; FILTER APPROACH; MODEL BASED PREDICTIVE CONTROL; NEURAL NETWORK TRAINING; NON-LINEAR; NONLINEAR STATE; STATIC OFFSETS; STEADY-STATE OFFSETS;

MODEL PREDICTIVE CONTROL; PREDICTIVE CONTROL SYSTEMS; SIGNAL PROCESSING; SOLAR COLLECTORS; SOLAR HEATING;

NEURAL NETWORKS;

EID: 33744971052     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICNNSP.2003.1279266     Document Type: Conference Paper

References (12)

1. Gil, P., J. Henriques, P. Carvalho, H. Duarte-Ramos and A. Dourado, "Adaptive Neural Model-Based Predictive Control of a Solar Power Plant," IEEE International Joint Conference on Neural Networks, Honolulu, HI-USA, 2002.
2. Garcia, C, D. Prett and M. Morari, "Model predictive control: Theory and practice - a survey," Automatica, vol. 25, 3, pp. 335-348, 1989.
3. Rivals, I., and L. Personnaz, "Black-box modelling with state-space networks," Neural Adaptive Control Technology, R. Zbikowski and J. Hunt eds., World Scientific, pp. 237-264, 1996.
4. Yamada, T., and T. Yabuta, "Dynamic System Identification Using Neural Networks," IEEE Trans. On Systems, Man and Cybernetics, Vol. 23, No.1, pp. 204-211, 1993
5. Narendra, K., and K. Parthasarathy, "Identification and Control of Dynamical Systems Using Neural Networks," IEEE Trans. On Neural Networks, Vol. 1, No. 1, pp. 4-27, 1990.
6. Funahashi, K., "On the approximate realization of continuous mappings by neural networks". Neural Networks, vol. 2, pp. 183-192, 1989.
7. Hornik, K., M. Stinchcombe and H. White, "Multilayer Feedforward Networks are Universal Approximators," Neural Networks, vol.2, pp. 359-366, 1989.
8. Ljung, L., "System Identification: Theory for the User," Prentice-Hall, Inc., Englewood Cliffs, New Jersey, 1987.
9. Draeger, A., S. Engell and H. Ranke, "Model predictive control using neural networks," IEEE Control Systems Magazine," vol. 15, no. 5, pp. 61-66, 1995.
10. Gil, P., J. Henriques, A, Dourado and H. Duarte-Ramos, "Constrained Neural Model Predictive Control with Guaranteed Free Offset," Proc. 2000 IEEE Int. Conf. on Industrial Electronics, Control and Implementation - IEECON, Nagoya, Japan, pp. 1991-1996, 2000.
11. Maciejowski, J., "Predictive Control with Constraints," Prentice Hall, 2002.
12. Julier, S., J. Uhtmann and F. Durrant-Whyte, "A New Method for the Nonlinear Transformation of Means and Covariances in Filters and Estimators," IEEE Trans. Aut. Control, vol. 45, pp. 477-482, 2000.