Self-tuning generalized predictive control with input constraints

Andrzej Królikowski; Damian Jerzy

International Journal of Applied Mathematics and Computer Science (2001)

  • Volume: 11, Issue: 2, page 459-479
  • ISSN: 1641-876X

Abstract

top
The handling of various input constraints in the self-tuning generalized predictive control (STGPC) problem of ARIMAXARMAX systems is considered. The methods based on the Lagrange multipliers and Lemke's algorithm are used to solve the constrained optimization problem. A self-tuning controller is implemented in an indirect way, and the considered constraints imposed on the control input signal are of the rate, amplitude and energy types. A comparative simulation study of self-tuning control system behaviour is given with respect to the design parameters and constraints. The stability of a closed-loop control system is analyzed and the computational loads of both the methods are compared.

How to cite

top

Królikowski, Andrzej, and Jerzy, Damian. "Self-tuning generalized predictive control with input constraints." International Journal of Applied Mathematics and Computer Science 11.2 (2001): 459-479. <http://eudml.org/doc/207515>.

@article{Królikowski2001,
abstract = {The handling of various input constraints in the self-tuning generalized predictive control (STGPC) problem of ARIMAXARMAX systems is considered. The methods based on the Lagrange multipliers and Lemke's algorithm are used to solve the constrained optimization problem. A self-tuning controller is implemented in an indirect way, and the considered constraints imposed on the control input signal are of the rate, amplitude and energy types. A comparative simulation study of self-tuning control system behaviour is given with respect to the design parameters and constraints. The stability of a closed-loop control system is analyzed and the computational loads of both the methods are compared.},
author = {Królikowski, Andrzej, Jerzy, Damian},
journal = {International Journal of Applied Mathematics and Computer Science},
keywords = {self-tuning; ARIMAX/ARMAX systems; constraints; generalized predictive control},
language = {eng},
number = {2},
pages = {459-479},
title = {Self-tuning generalized predictive control with input constraints},
url = {http://eudml.org/doc/207515},
volume = {11},
year = {2001},
}

TY - JOUR
AU - Królikowski, Andrzej
AU - Jerzy, Damian
TI - Self-tuning generalized predictive control with input constraints
JO - International Journal of Applied Mathematics and Computer Science
PY - 2001
VL - 11
IS - 2
SP - 459
EP - 479
AB - The handling of various input constraints in the self-tuning generalized predictive control (STGPC) problem of ARIMAXARMAX systems is considered. The methods based on the Lagrange multipliers and Lemke's algorithm are used to solve the constrained optimization problem. A self-tuning controller is implemented in an indirect way, and the considered constraints imposed on the control input signal are of the rate, amplitude and energy types. A comparative simulation study of self-tuning control system behaviour is given with respect to the design parameters and constraints. The stability of a closed-loop control system is analyzed and the computational loads of both the methods are compared.
LA - eng
KW - self-tuning; ARIMAX/ARMAX systems; constraints; generalized predictive control
UR - http://eudml.org/doc/207515
ER -

References

top
  1. Bazaraa M.S. and Shetty C.M. (1979): Nonlinear Programming. Theory and Algorithms. - New York: Wiley. Zbl0476.90035
  2. Bitmead R.R., Gevers M. and Wertz V. (1990): Adaptive Optimal Control. - New York: Prentice Hall. Zbl0751.93052
  3. Camacho E.F. (1993): Constrained generalised predictive control. - IEEE Trans. Automat. Contr., Vol.38, No.2, pp.327-332. Zbl0775.93138
  4. Camacho E.F. and Bordons C. (1995): Model Predictive Control in the process industry. - London: Springer. 
  5. De Nicolao G., Scattolini R. and Sala G. (1996): An adaptive predictive regulator with input saturations. - Automatica, Vol.32, No.4, pp.597-601. Zbl0852.93042
  6. Kothare M.V., Balakrishnan V. and Morari M. (1996): Robust constrained model predictive control using linear matrix inequalities. - Automatica, Vol.32, No.10, pp.1361-1379. Zbl0897.93023
  7. Lee S.J., Park S.H., Kim C.W., Ham C.S. and Lee J.H. (1997): Generalized predictive control with input constraints. - Proc. 3rd Europ. Contr. Conf., ECC'97, Brussels, CD ROM. 
  8. Rossiter J.A. and Kouvaritakis B. (1993): Constrained stable generalised predictive control. - IEE Proc., Pt.D, Vol.140, No.4, pp.243-254. Zbl0786.93005
  9. Soufian M., Sandoz D.J. and Soufian M. (1997): Dynamic programming approach for constrained model predictive control.- Prep. 4th IFAC Conf. Syst. Structure Contr., Bucharest, Romania, pp.232-237. Zbl0915.92023
  10. Tsang T.T.C. and Clarke D.W. (1988): Generalised predictive control with input constraints. - IEE Proc., Pt.D, Vol.135, No.6, pp.451-460. Zbl0671.93064

NotesEmbed ?

top

You must be logged in to post comments.

To embed these notes on your page include the following JavaScript code on your page where you want the notes to appear.

Only the controls for the widget will be shown in your chosen language. Notes will be shown in their authored language.

Tells the widget how many notes to show per page. You can cycle through additional notes using the next and previous controls.

    
                

Note: Best practice suggests putting the JavaScript code just before the closing </body> tag.