State Observers for Model Predictive Control

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F70883521%3A28140%2F13%3A43869798" target="_blank" >RIV/70883521:28140/13:43869798 - isvavai.cz</a>

Výsledek na webu

<a href="http://dx.doi.org/10.1007/978-3-319-00542-3_30" target="_blank" >http://dx.doi.org/10.1007/978-3-319-00542-3_30</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1007/978-3-319-00542-3_30" target="_blank" >10.1007/978-3-319-00542-3_30</a>

Jazyk výsledku

angličtina

Název v původním jazyce

State Observers for Model Predictive Control

Popis výsledku v původním jazyce

This paper deals with state observers with respect to their usage in the model predictive control (MPC) based on state space model of the controlled system. In case of immeasurable states a state observer (filter) is used to calculate current states in each control step. The paper is especially focused to finite impulse filters (FIR) as these filters do not require knowledge of initial state - contrary to infinite impulse response (IIR) filters. Several linear filters are tested and compared with proposed filters based on quadratic and linear programming. Different filter lengths (horizons) were tested to investigate filters' performance. Filters were tested in very noisy conditions to evaluate filter robustness and therefore its usability in real-timedeployment. The simulations were carried out using data from a real-time laboratory (Amira DR300 Servo system). All the measurements and simulations were carried out in MATLAB/Simulink environment.

Název v anglickém jazyce

State Observers for Model Predictive Control

Popis výsledku anglicky

This paper deals with state observers with respect to their usage in the model predictive control (MPC) based on state space model of the controlled system. In case of immeasurable states a state observer (filter) is used to calculate current states in each control step. The paper is especially focused to finite impulse filters (FIR) as these filters do not require knowledge of initial state - contrary to infinite impulse response (IIR) filters. Several linear filters are tested and compared with proposed filters based on quadratic and linear programming. Different filter lengths (horizons) were tested to investigate filters' performance. Filters were tested in very noisy conditions to evaluate filter robustness and therefore its usability in real-timedeployment. The simulations were carried out using data from a real-time laboratory (Amira DR300 Servo system). All the measurements and simulations were carried out in MATLAB/Simulink environment.

Druh

D - Stať ve sborníku

CEP obor

BC - Teorie a systémy řízení

OECD FORD obor

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Projekt

<a href="/cs/project/ED2.1.00%2F03.0089" target="_blank" >ED2.1.00/03.0089: Centrum bezpečnostních, informačních a pokročilých technologií (CEBIA-Tech)</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 statě ve sborníku

Nostradamus 2013: Prediction, Modeling and Analysis of Complex Systems

ISBN

978-3-319-00541-6

ISSN

2194-5357

e-ISSN

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Počet stran výsledku

9

Strana od-do

295-303

Název nakladatele

Springer-Verlag Berlin

Místo vydání

Heidelberg

Místo konání akce

Ostrava

Datum konání akce

3. 6. 2013

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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