Continuous-time vs. Discrete-time Identification Models Used for Adaptive Control of Nonlinear Process

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F70883521%3A28140%2F16%3A43875456" target="_blank" >RIV/70883521:28140/16:43875456 - isvavai.cz</a>

Výsledek na webu

<a href="http://dx.doi.org/10.7148/2016-0320" target="_blank" >http://dx.doi.org/10.7148/2016-0320</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.7148/2016-0320" target="_blank" >10.7148/2016-0320</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Continuous-time vs. Discrete-time Identification Models Used for Adaptive Control of Nonlinear Process

Popis výsledku v původním jazyce

An adaptive control is a technique where the controller adopts a structure or parameters somehow to the control conditions and the state of the controlled system. One way how we can fulfil the adaptivity of the controller is a recursive identification of the controlled system which satisfies that parameters of the controller changes according to parameters of the controlled system during the whole control process. The goal of this contribution is to compare identification models that work in continuous and discrete time. The control synthesis uses polynomial approach that satisfies basic control requirements such as a stability, a disturbance attenuation and a reference signal tracking. The control response could be tuned by the choice of the root position in the Pole-placement method. Moreover, this control method could be easily programmable that is big advantage while we use this method in simulation software such as Matlab etc.

Název v anglickém jazyce

Continuous-time vs. Discrete-time Identification Models Used for Adaptive Control of Nonlinear Process

Popis výsledku anglicky

An adaptive control is a technique where the controller adopts a structure or parameters somehow to the control conditions and the state of the controlled system. One way how we can fulfil the adaptivity of the controller is a recursive identification of the controlled system which satisfies that parameters of the controller changes according to parameters of the controlled system during the whole control process. The goal of this contribution is to compare identification models that work in continuous and discrete time. The control synthesis uses polynomial approach that satisfies basic control requirements such as a stability, a disturbance attenuation and a reference signal tracking. The control response could be tuned by the choice of the root position in the Pole-placement method. Moreover, this control method could be easily programmable that is big advantage while we use this method in simulation software such as Matlab etc.

Druh

D - Stať ve sborníku

CEP obor

BC - Teorie a systémy řízení

OECD FORD obor

—

Projekt

—

Návaznosti

V - Vyzkumna aktivita podporovana z jinych verejnych zdroju

Rok uplatnění

2016

Kód důvěrnosti údajů

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

Název statě ve sborníku

Proceedings - 30th European Conference on Modelling and Simulation ECMS 2016

ISBN

978-0-9932440-2-5

ISSN

—

e-ISSN

—

Počet stran výsledku

7

Strana od-do

320-326

Název nakladatele

EUROPEAN COUNCIL MODELLING &amp; SIMULATION, SCHOOL COMPUTING &amp; MATHEMATICS

Místo vydání

Nottingham

Místo konání akce

Regensburg

Datum konání akce

31. 5. 2016

Typ akce podle státní příslušnosti

EUR - Evropská akce

Kód UT WoS článku

000386310800045