Self-tuning prediction and control for two-dimensional processes part 2: parameter estimation, set-point tracking and offset handling
Research output: Contribution to journal › Article › peer-review
Standard Standard
In: International Journal of Control, Vol. 62, No. 2, 22.10.2007, p. 239-269.
Research output: Contribution to journal › Article › peer-review
HarvardHarvard
APA
CBE
MLA
VancouverVancouver
Author
RIS
TY - JOUR
T1 - Self-tuning prediction and control for two-dimensional processes part 2: parameter estimation, set-point tracking and offset handling
AU - Heath, W.P.
AU - Wellstead, P.E.
PY - 2007/10/22
Y1 - 2007/10/22
N2 - We consider some of the issues of implementing the prediction and control algorithms of the companion paper (Heath and Weltstead 1994). The algorithms are suitable for setting in self-tuning mode by combining them with recursive parameter estimation algorithms. The problems of set-point tracking and offset handling are also considered. It is shown that if the two-dimensional process can be modelled as incremental, then the solution is particularly staightforward. Throughout, the results are illustrated by simulations.
AB - We consider some of the issues of implementing the prediction and control algorithms of the companion paper (Heath and Weltstead 1994). The algorithms are suitable for setting in self-tuning mode by combining them with recursive parameter estimation algorithms. The problems of set-point tracking and offset handling are also considered. It is shown that if the two-dimensional process can be modelled as incremental, then the solution is particularly staightforward. Throughout, the results are illustrated by simulations.
U2 - 10.1080/00207179508921542
DO - 10.1080/00207179508921542
M3 - Erthygl
VL - 62
SP - 239
EP - 269
JO - International Journal of Control
JF - International Journal of Control
IS - 2
ER -