Adaptive Control of Non-linear System using Neural network

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216275%3A25530%2F10%3A39881839" target="_blank" >RIV/00216275:25530/10:39881839 - isvavai.cz</a>

Result on the web

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DOI - Digital Object Identifier

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Result language

angličtina

Original language name

Adaptive Control of Non-linear System using Neural network

Original language description

The paper deals with one of possible methods for control of nonlinear dynamical system, namely with the adaptive neural PS controller (ANPSC). Its principle is in on-line refinement of the model system and then in the adaptive adjustment of the controller parameters. The model of the plant is realized with a two-layer feedforward neural network. The control part of the ANPSC has the structure of the classical PS controller, and it is also created in the form of the neural network (simple perceptron). The simulation calculations were performed in MATLAB.

Czech name

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Czech description

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Type

J_x - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

CEP classification

BC - Theory and management systems

OECD FORD branch

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Project

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Continuities

Z - Vyzkumny zamer (s odkazem do CEZ)

Publication year

2010

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

Acta Mechanica Slovaca

ISSN

1335-2393

e-ISSN

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Volume of the periodical

14

Issue of the periodical within the volume

1

Country of publishing house

SK - SLOVAKIA

Number of pages

9

Pages from-to

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UT code for WoS article

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EID of the result in the Scopus database

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