Dva adaptivní přístupy řízení nelineárních systémů

Kód výsledku v IS VaVaI

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Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Two Adaptive Approaches of Nonlinear System Control

Popis výsledku v původním jazyce

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

Název v anglickém jazyce

Two Adaptive Approaches of Nonlinear System Control

Popis výsledku anglicky

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

Druh

D - Stať ve sborníku

CEP obor

BC - Teorie a systémy řízení

OECD FORD obor

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Projekt

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Návaznosti

Z - Vyzkumny zamer (s odkazem do CEZ)

Rok uplatnění

2008

Kód důvěrnosti údajů

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

Název statě ve sborníku

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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Počet stran výsledku

6

Strana od-do

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Název nakladatele

Institute for Electrical and Electronic Engineers, Inc.

Místo vydání

New York

Místo konání akce

Malta, St. Julians

Datum konání akce

12. 3. 2008

Typ akce podle státní příslušnosti

EUR - Evropská akce

Kód UT WoS článku

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