Two Adaptive Approaches of Nonlinear System Control

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F70883521%3A28110%2F08%3A63507416" target="_blank" >RIV/70883521:28110/08:63507416 - 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

Two Adaptive Approaches of Nonlinear System Control

Original language description

Generally the artificial neural networks (ANN) are regarded as highly computational demanding method. The usage of ANN in model predictive control as an adaptive predictor is mostly impossible. The aim of this paper is to present and compare one possibleway how to reduce computational costs of adaptive predictors based on artificial neural networks. This paper presents real-time system control by two adaptive kontrol methods. The first method is based on the model predictive method with adaptive artificial neural network as a predictor. This artificial neural network offers interesting solution of the computation time problem while using artificial neural network as an adaptive (online) predictor. The second method is established on self-tuning approach. Both these methods are applied to a problem of control liquid level in interconnected tanks. Real-time experiments are performed using Amira DTS200 ? Three Tank System. This system is characterized by non-linear behavior

Czech name

Dva adaptivní přístupy řízení nelineárních systémů

Czech description

V článku jsou srovnávány dva přístupy k řízení nelineárních systémů. První metoda využívá prediktivního modelu vytvořeného pomocí umělé neuronové sítě. Zatímco druhá metoda je založena na použití STC regulátorů. Obě metody jsou aplikovány na řízení reálného systému DTS 200.

Type

D - Article in proceedings

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

2008

Confidentiality

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

Article name in the collection

Proceedings of 3rd International Symposium on Communications, control and Signal Processing

ISBN

978-1-4244-1688-2

ISSN

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e-ISSN

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Number of pages

6

Pages from-to

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Publisher name

Institute for Electrical and Electronic Engineers, Inc.

Place of publication

New York

Event location

Malta, St. Julians

Event date

Mar 12, 2008

Type of event by nationality

EUR - Evropská akce

UT code for WoS article

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