Predictive Control of Nonlinear Plant Using Piecewise-Linear Neural Model

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216275%3A25530%2F17%3A39911291" target="_blank" >RIV/00216275:25530/17:39911291 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1109/PC.2017.7976207" target="_blank" >http://dx.doi.org/10.1109/PC.2017.7976207</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/PC.2017.7976207" target="_blank" >10.1109/PC.2017.7976207</a>

Result language
angličtina
Original language name
Predictive Control of Nonlinear Plant Using Piecewise-Linear Neural Model
Original language description
A special form of a predictive controller is presented in this paper. Based on previous authors' work, a piecewise-linear neural model of nonlinear plant to be controlled is adopted to local linearization. The linearized model is then used for control action evaluation using a predictive controller. Although the linearization using piecewise-linear neural network is simple and efficient, it provides the model in a nonstandard form. Therefore, the proposed predictive controller is designed in order to handle that nonstandard model without any customization. At the end of the paper, the illustrative example demonstrates the main features of the introduced solution.
Czech name
—
Czech description
—

Publication year
2017
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Proceedings of the 21st International Conference on Process Control, PC 2017
ISBN
978-1-5386-4011-1
ISSN
—
e-ISSN
neuvedeno
Number of pages
6
Pages from-to
161-166
Publisher name
IEEE (Institute of Electrical and Electronics Engineers)
Place of publication
New York
Event location
Štrbské pleso
Event date
Jun 6, 2017
Type of event by nationality
EUR - Evropská akce
UT code for WoS article
000412119800029

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