Wyniki wyszukiwania - BazTech

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Układ kontrolno-pomiarowy do zbierania danych procesowych oczyszczalni ścieków opartej na technologii SBR

Wiench R., Hunek W.

Pomiary Automatyka Kontrola

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2014

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R. 60, nr 12

1132--1135

PL

W artykule przedstawiono koncepcję autorskiego układu kontrolno-pomiarowego do zbierania danych procesowych działającej oczyszczalni ścieków opartej na technologii SBR (ang. Sequencing Batch Reactor). Zwrócono uwagę na liczne aspekty istotnie wpływające na budowę i praktyczną implementację systemu. Przedstawiono jego szeroką funkcjonalność, głównie w kontekście wydajnego sterowania wspomnianą oczyszczalnią. W tym celu zaproponowano wielowymiarowy układ regulacji zdaniem autorów zapewniający założone wcześniej parametry technologiczne uzdatnianej wody.

EN

A concept of the supervisory control and data acquisition system for SBR sewage treatment plant is presented in this paper. The essential aspects related to its construction and real implementation are emphasized. A wide functionality in particular in terms of robust control of sewage treatment plant is shown. In this case the multivariable control system guarantees the assumed technological references of treated water.

2

Different Models of Chemotherapy Taking Into Account Drug Resistance Stemming from Gene Amplification

Śmieja J., Świerniak A.

International Journal of Applied Mathematics and Computer Science

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2003

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Vol. 13, no 3

297-305

EN

This paper presents an analysis of some class of bilinear systems that can be applied to biomedical modelling. It combines models that have been studied separately so far, taking into account both the phenomenon of gene amplification and multidrug chemotherapy in their different aspects. The mathematical description is given by an infinite dimensional state equation with a system matrix whose form allows decomposing the model into two interacting subsystems. While the first one, of a finite dimension, can have any form, the other is infinite dimensional and tridiagonal. A methodology of the analysis of such models, based on system decomposition, is presented. An optimal control problem is defined in the l1 space. In order to derive necessary conditions for optimal control, the model description is transformed into an integro-differential form. Finally, biomedical implications of the obtained results are discussed.

3

Ehmac - a New Simple Tool for Robust Linear Multivariable Control

Latawiec K. J., Rojek R.

International Journal of Applied Mathematics and Computer Science

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2000

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Vol. 10, no 3

575-590

EN

A combination of long range predictive control-originated EHPC and internal model control-structured MAC is shown to produce a new, simple but effective Extended Horizon Model Algorithmic Control (EHMAC). The EHMAC strategy can be used to robustly control open-loop stable non-minimum phase (possibly non-square) MIMO systems under very large model-plant mismatches. Robust EHMAC design is made straightforward by means of a separate selection of a single prediction horizon and an IMC filter parameter, which can be easily auto-tuned.

4

Dynamic Algorithm for Linear Quadratic Gaussian Predictive Control

Ordys A. W., Hangstrup M. E., Grimble M. J.

International Journal of Applied Mathematics and Computer Science

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2000

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Vol. 10, no 2

227-244

EN

In this paper, the optimal control law is derived for a multi-variable state-space Linear Quadratic Gaussian Predictive Controller (LQGPC). A dynamic performance index is utilized resulting in an optimal steady-state controller. Knowledge of future reference values is incorporated into the controller design and the solution is derived using the method of Lagrange multipliers. It is shown how the well-known GPC controller can be obtained as a special case of the LQGPC controller design. The important advantage of using the LQGPC framework for designing predictive controllers is that, based on stabilizing properties of LQG control, it enables a systematic approach to selection of the design parameters to yield a stable closed-loop system. The system model considered in this paper can be further extended toalso include direct feed-through and knowledge about future external inputs.