© The Institution of Electrical Engineers
An adaptive inferential algorithm is developed for estimation and control of multirate systems. The output y is measured J times slower than the secondary process output v and the input u, but an output estimate Ye is produced at each sampling interval of v and u. Compared with previous work on multirate inferential systems, the proposed algorithm has a more formal theoretical basis. For example, the output y is related to the secondary output v not only through external stochastic disturbances but also through the internal system structure. Convergence properties are formally proven for the case of zero external stochastic disturbances, and a simplified algorithm is proposed for practical applications. Simulated results illustrate the convergence properties of the algorithm and the improvement obtained in simple feedback control systems.
References
-
-
1)
-
W. Lu ,
D.G. Fisher
.
Output estimation with multirate sampling.
Int. J. Control
,
1 ,
149 -
160
-
2)
-
W. Lu ,
D.G. Fisher
.
Least squares output estimation with multirate sampling.
IEEE Trans.
,
6 ,
669 -
672
-
3)
-
K.J. Åström
.
(1970)
, Introduction to stochastic control theory.
-
4)
-
L. LJUNG
.
(1987)
, System identification: theory for the user.
-
5)
-
T. Soderstrom
.
(1980)
, Methods and applications in adaptive control.
-
6)
-
G.C. GOODWIN ,
K.S. SIN
.
(1994)
, Adaptive filtering prediction and control.
-
7)
-
J.R. Parrish ,
C.B. Brosilow
.
Inferential control applications.
Automatica
,
5 ,
527 -
538
-
8)
-
W.A. Wolovich
.
(1974)
, Linear multivariable system.
-
9)
-
Guilandoust, M.T., Morris, A.J., Tham, M.T.: `Adaptive estimation in inferential process control', Proceedings of American Control Conference, 1987, p. 1743–1748.
-
10)
-
N.G. Patke ,
P.B. Deshpande ,
A.C. Chou
.
Evaluation of inferential and parallel cascade schemes for distillation control.
Ind. Eng. Chem. Process Des. Dev.
,
266 -
272
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