Some convergence properties of multi-step prediction error identification criteria

Proceedings of the IEEE Conference on Decision and Control

Volumn , Issue , 2008, Pages 756-761

  Farina, Marcello ^a   Piroddi, Luigi ^a  

^a POLITECNICO DI MILANO   (Italy)

Author keywords

[No Author keywords available]

Indexed keywords

ERRORS; MODEL PREDICTIVE CONTROL;

APPLICATION CONTEXTS; CONVERGENCE PROPERTIES; MODEL ACCURACY; MULTI-STEP PREDICTION; OUTPUT ERROR METHOD; PREDICTION ERRORS; PREDICTION HORIZON; PREDICTIVE CONTROL;

FORECASTING;

EID: 62949192663     PISSN: 07431546     EISSN: 25762370     Source Type: Conference Proceeding    
DOI: 10.1109/CDC.2008.4738744     Document Type: Conference Paper

References (16)

1. R. Chen, L. Yang, and C. Hafner. Nonparametric multi-step ahead prediction in time series analysis. Journal of the Royal Statistical Society, Series B, 66(3):669-686, 2004.
2. P. Connally, K. Li, and G. W. Irwin. Prediction-and simulationerror based perceptron training: Solution space analysis and a novel combined training scheme. Neurocomputing, 70(4-6):819-827, 2007.
3. R. B. Gopaluni, R. S. Patwardhan, and S. L. Shah. Bias distribution in MPC relevant identification. In IFAC World Congress, pages 2196-2201, Barcelona (Spain), 2002.
4. R. B. Gopaluni, R. S. Patwardhan, and S. L. Shah. MPC relevant identification-tuning the noise model. Journal of Process Control, 14(6):699-714, 2004.
5. S. B. Jorgensen J. B. Jorgensen. Comparison of prediction-errormodelling criteria. In American Control Conference, pages 140-146, New York (USA), 2007.
6. S. B. Jorgensen J. B. Jorgensen. MPC-relevant prediction-error identification. In American Control Conference, pages 128-133, New York (USA), 2007.
7. K. Judd and M. Small. Towards long-term prediction. Physica D, 136(1-2):31-44, 2000.
8. L. Ljung. System Identification: Theory for the User. Prentice-Hall, Englewood Cliffs, NJ, 1999.
9. K. S. Narendra and K. Parthasarathy. Identification and control of dynamical systems using neural networks. IEEE Transactions on Neural Networks, 1(1):4-27, 1990.
10. th IFAC Symposium on System Identification, pages 371-376, Rotterdam (The Netherlands), 2003.
11. J. A. Rossiter and B. Kouvaritakis. Modelling and implicit modelling for predictive control. International Journal of Control, 74(11):1085-1095, 2001.
12. th IEEE Conference on Decision and Control, pages 183-188, Sydney (Australia), 2000.
13. D. S. Shook, C. Mohtadi, and S. L. Shah. Identification for longrange predictive control. IEE Proceedings Part D, Control Theory and Applications, 138(1):75-84, 1991.
14. D. S. Shook, C. Mohtadi, and S. L. Shah. A control-relevant identification strategy for GPC. IEEE Transactions on Automatic Control, 37(7):975-980, 1992.
15. T. Söderström and P. Stoica. Some properties of the output error method. Automatica, 18(1):93-99, 1982.
16. T. Söderström and P. Stoica. System Identification. Prentice-Hall, London, 1989.