# Self-tuning generalized predictive control with input constraints

Andrzej Królikowski; Damian Jerzy

International Journal of Applied Mathematics and Computer Science (2001)

- Volume: 11, Issue: 2, page 459-479
- ISSN: 1641-876X

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topKrólikowski, Andrzej, and Jerzy, Damian. "Self-tuning generalized predictive control with input constraints." International Journal of Applied Mathematics and Computer Science 11.2 (2001): 459-479. <http://eudml.org/doc/207515>.

@article{Królikowski2001,

abstract = {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.},

author = {Królikowski, Andrzej, Jerzy, Damian},

journal = {International Journal of Applied Mathematics and Computer Science},

keywords = {self-tuning; ARIMAX/ARMAX systems; constraints; generalized predictive control},

language = {eng},

number = {2},

pages = {459-479},

title = {Self-tuning generalized predictive control with input constraints},

url = {http://eudml.org/doc/207515},

volume = {11},

year = {2001},

}

TY - JOUR

AU - Królikowski, Andrzej

AU - Jerzy, Damian

TI - Self-tuning generalized predictive control with input constraints

JO - International Journal of Applied Mathematics and Computer Science

PY - 2001

VL - 11

IS - 2

SP - 459

EP - 479

AB - 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.

LA - eng

KW - self-tuning; ARIMAX/ARMAX systems; constraints; generalized predictive control

UR - http://eudml.org/doc/207515

ER -

## References

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- Marlene Arangú, Miguel A. Salido, A fine-grained arc-consistency algorithm for non-normalized constraint satisfaction problems

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