The handling of various input constraints in the self-tuning generalized predictive control (STGPC) problem of ARIMAXARMAX systems is considered. The methods based on the Lagrange multipliers and Lemke's algorithm are used to solve the constrained optimization problem. A self-tuning controller is implemented in an indirect way, and the considered constraints imposed on the control input signal are of the rate, amplitude and energy types. A comparative simulation study of self-tuning control system behaviour is given with respect to the design parameters and constraints. The stability of a closed-loop control system is analyzed and the computational loads of both the methods are compared.
@article{bwmeta1.element.bwnjournal-article-amcv11i2p459bwm,
author = {Kr\'olikowski, Andrzej and Jerzy, Damian},
title = {Self-tuning generalized predictive control with input constraints},
journal = {International Journal of Applied Mathematics and Computer Science},
volume = {11},
year = {2001},
pages = {459-479},
zbl = {0969.93500},
language = {en},
url = {http://dml.mathdoc.fr/item/bwmeta1.element.bwnjournal-article-amcv11i2p459bwm}
}
Królikowski, Andrzej; Jerzy, Damian. Self-tuning generalized predictive control with input constraints. International Journal of Applied Mathematics and Computer Science, Tome 11 (2001) pp. 459-479. http://gdmltest.u-ga.fr/item/bwmeta1.element.bwnjournal-article-amcv11i2p459bwm/
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