Simultaneous constrained model predictive control and identification of DARX processes

Automatica

Volumn 34, Issue 12, 1998, Pages 1521-1530

  Shouche, Manoj ^a   Genceli, Hasmet ^a   Vuthandam, Premkiran ^a   Nikolaou, Michael ^a,b  

^a Department of Electrical and Computer Engineering   (United States)

^b University of Houston   (United States)

Author keywords

Adaptive control; Closed loop identification; Predictive control; Semidefinite programming

Indexed keywords

ADAPTIVE CONTROL SYSTEMS; CLOSED LOOP CONTROL SYSTEMS; CONSTRAINT THEORY; FEEDBACK CONTROL; IDENTIFICATION (CONTROL SYSTEMS);

PERSISTENT EXCITATION CRITERION; SEMIDEFINITE PROGRAMMING; SIMULTANEOUS CONSTRAINED MODEL PREDICTIVE CONTROL;

PREDICTIVE CONTROL SYSTEMS;

EID: 0032295815     PISSN: 00051098     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0005-1098(98)80005-8     Document Type: Article

References (36)

1. Alster, J. and P. R. Bélanger (1974). A technique for dual adaptive control. Automation, 10, 627-634.
2. Anderson, B. D. (1985). Adaptive systems, lack of persistent excitation and bursting phenomena. Automation, 21, 247-258.
3. Anderson, B. D. and R. C. Johnson Jr (1982). Exponential convergence of adaptive identification and control algorithms. Automatica, 18, 1-13.
4. Anderson, B. D. and R. M. Johnstone (1983). Adaptive systems and time varying plants. Int. J. Control, 37, 367-377.
5. Bittanti, S., P. Bolzern and M. Campi (1990). Exponential convergence of a modified directional forgetting identification algorithm. Int. J. Control, 14, 131-137.
6. Bitmead, R. R. (1984). Persistence of excitation conditions and the convergence of adaptive schemes. IEEE Trans. Inform. Theory, IT-30, 183-191.
7. Bitmead, B. (1993). Iterative control design approaches. Proc. 12th IFAC World Congress. Sydney, Australia.
8. Box, G. E. P. and J. F. MacGregor (1975). Parameter estimation with closed-loop operating data. Proc. 6th IFAC Congress. Boston, paper 38-5, pp. 1-8.
9. Boyd, S., L. El Ghaoui, E. Feron and V. Balakrishnan (1994) Linear matrix inequalities in systems and control theory. SIAM. Philadelphia.
10. Fel'dbaum, A. A. (1965). Optimal Control Systems. Academic Press, New York.
11. Fu, L. C. and S. Sastry (1991). Frequency domain synthesis of optimal inputs for on-line identification and adaptive control. IEEE Trans. Automat. Control, AC-36, 353-358.
12. 1-norm model predictive control. A.I.Ch.E J., 39, 1954.
13. Genceli, H. and Nikolaou M. (1995). A new approach to constrained predictive control with simultaneous model identification. A.I.Ch.E. J. (accepted for publication).
14. Gevers, M. (1991). Connecting identification and robust control: a new challenge. 9th IFAC Symp. on Identification and System Parameter Estimation, Budapest, Hungary, Vol. 1, pp. 1-10.
15. Goodwin, G. C. and K. S. Sin (1984). Adaptive Filtering Prediction and Control, Prentice-Hall, Englewood Cliffs, NJ.
16. Goodwin, G. C. and R. L. Payne (1977). Dynamic System Identification, Experimental Design and Data Analysis. Academic Press, New York.
17. Gustavsson, I., L. Ljung and T. Söderström (1977). Identification of processes in closed loop-Identifiability and accuracy aspects. Automatica, 13, 59-75.
18. Johnstone, R. M., R. C. Johnson Jr., R. R. Bitmead and B. D. O. Anderson (1982). Exponential convergence of recursive least squares with exponential forgetting factor. Systems Control Letters, 2, 77-82.
19. Koung, C. W. and J. F. MacGregor (1994). Identification for robust multivariable control: the design of experiments. Automatica, 30, 1541-1554.
20. Ljung, L., I. Gustavsson and T. Söderström (1974). Identification of linear multivariable systems operating under linear feedback control. IEEE Trans. Automat. Control, AC-19, 836-840.
21. Ljung, L. (1987). System Identification: Theory for the Users. Addison-Wesley, Reading, MA.
22. Lozano, R. and X. H. Zhao (1994). Adaptive pole placement without excitation probing signals. IEEE Trans. Automat. Control, AC-39, 47-58.
23. Michalska, H. and D. Q. Mayne (1993). Robust receding horizon control of constrained non-linear systems. IEEE Trans. Automat. Control, AC-38, 1623.
24. Mehra, R. K. (1974). Optimal input signals for parameter estimation in dynamical systems-survey and new results. IEEE Trans. Automat. Control, AC-19, 753-763.
25. Prett, D. M. and C. E. García (1988). Fundamental Process Control. Butterworths, UK.
26. Schrama R. J. P. (1992a). Accurate identification for control: the necessity of an iterative scheme. IEEE Trans. Automat. Control, AC-37, 991-994.
27. Schrama R. J. P. (1992b). Approximate identification and control design with application to a mechanical system. PhD. Dissertation Delft Univ. tech., Delft, The Netherlands.
28. Shouche, M. (1996). Closed-loop identification and predictive control of chemical processes. PhD Thesis, Chemical Engineering, Texas A&M University.
29. Söderström, T., I. Gustavsson and L. Ljung (1975). Identifiability conditions for linear systems operating in closed-loop. Int. J. Control, 21, 243-255.
30. Tse, E., Y. Bar-Shalom and L. Meier, III (1973). Wide-sense adaptive dual control for nonlinear stochastic systems. IEEE Trans. Automat. Control, AC-18, 98-108.
31. Vandenberghe, L. and S. Boyd (1996). Semidefinite programming. SIAM Review, 38(1), pp. 49-95.
32. Voda, A. and I. Landau (1995). The joint closed loop identification and control design-theoretical issues and applications. ACC. Proc., Session FM5, Seattle, pp. 3551-3555.
33. Vuthandam, P., H. Genceli and M. Nikolaou (1995). Performance bounds for robust model-predictive control. A.I.Ch.E. J., 41, 2083.
34. Wieslander J. and B. Wittenmark (1971). An approach to adaptive control using real time identification. Automatica, 7, 211-217.
35. Wellstead, P. E. and J. M. Edmunds (1975). Least-squares identification of closed-loop systems. Int. J. Control. 21, 689-699.
36. Zeng, Z. Q. and M. Morari (1993). Robust stability of constrained model-predictive control. ACC Proc., Session WM7, San Francisco, pp. 379-383.