Adaptive predictive control of time-delay systems

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F70883521%3A28140%2F13%3A43870033" target="_blank" >RIV/70883521:28140/13:43870033 - isvavai.cz</a>

Nalezeny alternativní kódy

RIV/70883521:28610/13:43870033

Výsledek na webu

<a href="http://www.sciencedirect.com/science/article/pii/S0898122113000655" target="_blank" >http://www.sciencedirect.com/science/article/pii/S0898122113000655</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1016/j.camwa.2013.01.035" target="_blank" >10.1016/j.camwa.2013.01.035</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Adaptive predictive control of time-delay systems

Popis výsledku v původním jazyce

Design of an optimal controller for higher-order or time-delay systems often leads to complex control algorithms. One of the possibilities of control of such processes is their approximation by a lower-order model with a time-delay (dead time). These time-delay processes can be effectively handled by the Model-based Predictive Control (MPC) method. The paper deals with design of an algorithm for adaptive predictive control of higher-order processes, which are approximated by a second-order model of theprocess with a time-delay. Most processes in industrial practice are characterized by nonlinear behavior and contain uncertainties. The adaptive control strategy is one of the possible approaches to optimal control of such systems. The proposed adaptivepredictive controller for control of the time-delay system was tested and verified by simulation of a model of a laboratory heat exchanger which was obtained from measured experimental data.

Název v anglickém jazyce

Adaptive predictive control of time-delay systems

Popis výsledku anglicky

Design of an optimal controller for higher-order or time-delay systems often leads to complex control algorithms. One of the possibilities of control of such processes is their approximation by a lower-order model with a time-delay (dead time). These time-delay processes can be effectively handled by the Model-based Predictive Control (MPC) method. The paper deals with design of an algorithm for adaptive predictive control of higher-order processes, which are approximated by a second-order model of theprocess with a time-delay. Most processes in industrial practice are characterized by nonlinear behavior and contain uncertainties. The adaptive control strategy is one of the possible approaches to optimal control of such systems. The proposed adaptivepredictive controller for control of the time-delay system was tested and verified by simulation of a model of a laboratory heat exchanger which was obtained from measured experimental data.

Druh

J_x - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)

CEP obor

BC - Teorie a systémy řízení

OECD FORD obor

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Projekt

<a href="/cs/project/ED2.1.00%2F03.0111" target="_blank" >ED2.1.00/03.0111: Centrum polymerních systémů</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2013

Kód důvěrnosti údajů

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

Název periodika

Computers & Mathematics with Applications

ISSN

0898-1221

e-ISSN

—

Svazek periodika

66

Číslo periodika v rámci svazku

2

Stát vydavatele periodika

GB - Spojené království Velké Británie a Severního Irska

Počet stran výsledku

12

Strana od-do

165-176

Kód UT WoS článku

000321941300008

EID výsledku v databázi Scopus

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