Optimal parallel model solutions using the polynomial approach

International Journal of Control

Volumn 65, Issue 4, 1996, Pages 681-697

  Milocco, RubÉn H ^a   De Dona, JosÉ A ^a  

^a UNIVERSIDAD NACIONAL DEL COMAHUE   (Argentina)

Author keywords

[No Author keywords available]

Indexed keywords

DESIGN; DISCRETE TIME CONTROL SYSTEMS; ITERATIVE METHODS; MATHEMATICAL MODELS; MATRIX ALGEBRA; POLYNOMIALS;

POLYNOMIAL APPROACH;

OPTIMAL CONTROL SYSTEMS;

EID: 0030291334     PISSN: 00207179     EISSN: 13665820     Source Type: Journal    
DOI: 10.1080/00207179608921716     Document Type: Article

References (24)

1. Ahlen, A., and Sternad, M., 1991, Wiener filter design using polynomial equations. IEEE Transactions on Signal Processing, 39, 2387-2399.
2. Anderson, B., and Moore, J., 1979, Optimal Filtering (Englewood Cliffs, New Jersey, U.S.A.: Prentice Hall).
3. ASTROM, J., and Wittenmark, M., 1984, Computer-Controller Systems (Englewood Cliffs, New Jersey, U.S.A.: Prentice Hall).
4. Bernhardsson, B., and Sternad, M., 1993, Feedforward control is dual to deconvolution. International Journal of Control, 57, 393-405.
5. rj] LQ stochastic feedforward control. International Journal of Control, 56, 703-713.
6. Chen, B., and Wang, S., 1987, Multivariable model matching control: perfect and imperfect cases. International Journal of Control, 46, 1579-1588.
7. Davison, E., 1976, Multivariable tuning regulators: the feedforward and robust control of a general servomechanism problem. IEEE Transactions on Automatic Control, 21, 35-47.
8. Grimble, M., 1985, Polynomial systems approach to optimal linear filtering and prediction. International Journal of Control, 41, 1545-1564; 1986, Feedback and feedforward LGQ controller design. Proceedings of the American Control Conference (ACC’86), Seattle, Washington, U.S.A.
9. Hunt, K., 1988, General polynomial solution to the optimal feed back/feed forward stochastic tracking problem. International Journal of Control, 48, 1057-1073.
10. Hunt, K., and Sebek, M., 1989, Optimal multivariable regulation with disturbance measurement feedforward. International Journal of Control, 49, 373-378.
11. Kalman, R., 1960, A new approach to linear filtering and prediction problems. Transactions of the AMSE, Journal of Basic Engineering, 82D, 35-45.
12. Jezek, J., and Kucera, V., 1985, Efficient algorithm for matrix spectral factorization. Automatica, 21, 663-669.
13. Keller, J., and Anderson, B., 1992, A new approach to the discretization of continuous time controllers. IEEE Transactions on Automatic Control, 37, 214-223.
14. Kucera, V., 1978, Transfer function solution of the Kalman-Bucy filtering problem. Kybernetika (Prague), 14, 110-122; 1979, Discrete Linear Control. The Polynomial Equation Approach (Chichester, U.K.: Wiley).
15. Milocco, R., 1992, Optimal design of feedforward regulators for multivariable systems. Proceedings of the American Control Conference (ACC'92), pp. 780-784.
16. Moir, T., and Grimble, M., 1984, Optimal self-tuning filtering, smoothing and prediction for discrete time multivariable processes. IEEE Transactions on Automatic Control, 19, 128-137.
17. Rader, C., and Gold, B., 1967, Digital filter design techniques in the frequency domain. Proceedings of the Institute of Electrical and Electronics Engineers, 55, 149-171.
18. Roberts, A., and Newmann, M., 1987, Polynomial approach to Wiener filtering. International Journal of Control, 45, 1953-1959.
19. Shah, S., and Grant Fisher, D., 1987, Multivariable frequency domain design method for disturbance minimization. International Journal of Control, 45, 107-115.
20. Sternad, M., and Söderström, T., 1988, LQG optimal feedforward regulators. Automatica, 24, 557-561.
21. Sternad, M., and Ahlen, A., 1993, A novel derivation methodology for polynomial-LQG controller design. IEEE Transactions on Automatic Control, 38, 116-121.
22. van de Vegte, J., 1990, Feedforward control of disturbances in multivariable feedback control systems. International Journal of Control, 52, 377-387.
23. Wiener, N., 1950, Extrapolation, Interpolation and Smoothing of Stationary Time Series (New York: The Technology Press/Wiley).
24. Youla, D., Jabs, H., and Bongiorno, J., 1976, Modern Wiener-Hopf design of optimal controllers. Part II: the multivariable case. IEEE Transactions on Automatic Control, 21, 319-338.