Disturbance sensitivity issues in predictive control

International Journal of Adaptive Control and Signal Processing

Volumn 13, Issue 6, 1999, Pages 507-519

  De Doná, José A ^a   Goodwin, Graham C ^a  

^a UNIVERSITY OF NEWCASTLE   (Australia)

Author keywords

[No Author keywords available]

Indexed keywords

CONSTRAINT THEORY; CONTROL SYSTEM ANALYSIS; ROBUSTNESS (CONTROL SYSTEMS); SENSITIVITY ANALYSIS;

DISTURBANCE SENSITIVITY;

PREDICTIVE CONTROL SYSTEMS;

EID: 0033320696     PISSN: 08906327     EISSN: None     Source Type: Journal    
DOI: 10.1002/(SICI)1099-1115(199908)13:6<507::AID-ACS557>3.0.CO;2-R     Document Type: Article

References (16)

1. Mayne, D. Q., J. B. Raelings, C. V. Rao and P. O. M. Scokaert, 'Model predictive control: a review', private correspondence, 1998.
2. Propoi, A. I., 'Use of linear programming methods for synthesizing sampled-data automatic systems', Automat. Remote Control. 24(7), 837-844 (1963).
3. Richalet, J., A. Rault, J. L. Testud and J. Papon, 'Algorithmic control of industrial processes', Proc. 4th IF AC Symp. on Identification and Systems Parameter Identification, 1976, pp. 1119-1167.
4. Chen, C. C. and L. Shaw, 'On receding horizon feedback control', Automatica, 18, 349-352 (1979).
5. Garcia, C. E. and A. M. Morshedi, 'Quadratic programming solution of dynamic matrix control (QDMC)', Chem. Engng. Commun., 46, 73-87 (1986).
6. Keerthi, S. S. and E. G. Gilbert, 'Optimal, infinite horizon feedback laws for a general class of constrained discrete time systems: stability and moving-horizon approximations', J. Optim. Theory Appl., 57, 265-293 (1988).
7. Mayne, D. Q. and H. Michalska, 'Receding horizon control of non-linear systems', IEEE Trans. Automat. Control, 35(5), 814-824 (1990).
8. Richalet, J., A. Rault, J. L. Testud and J. Papon, 'Model predictive heuristic control: applications to industrial processes', Automatica, 14, 413-428 (1978).
9. Garcia, C. E., D. M. Prett and M. Morari, 'Model predictive control: theory and practice - a survey', Automatica, 25(3), 335-348 (1989).
10. Morari, M. and J. H. Lee, 'Model predictive control: past, present and future', Proc. Joint 6th Int. Symp. on Process Systems Engineering (PSE'97) and 30th European Symp. on Computer Aided Process Systems Engineering (ESCAPE 7), Trondheim, Norway, 1997.
11. Rawlings, J. B., E. S. Meadows and K. R. Muske, 'Nonlinear model predictive control: a tutorial and survey', Proc. Adchem '94, Kyoto, Japan, 1994.
12. Peterka, V., 'Predictor-based self-tuning control', Automatica, 20(1), 39-50 (1984).
13. Åström, K. J. and B. Wittenmark, Computer Controlled Systems, Prentice-Hall, New Jersey, 1990.
14. Peterka, V., 'On steady state minimum variance control', Kybernetika, 8(3), 219-232 (1972).
15. Goodwin, G. C., S. F. Graebe and M. Salgado, Principles of Control System Design, Prentice-Hall, Englewood Cliffs, NJ, 1998.
16. Seron, M. M., J. Braslavskv and G. C. Goodwin, Fundamentals Limitations in Filtering and Control, Springer, Berlin, 1997.