Predictive Control Oriented Subspace Identification Based on Building Energy Simulation Tools

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F12%3A00195252" target="_blank" >RIV/68407700:21230/12:00195252 - isvavai.cz</a>

Výsledek na webu

<a href="http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6265817" target="_blank" >http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6265817</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1109/MED.2012.6265817" target="_blank" >10.1109/MED.2012.6265817</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Predictive Control Oriented Subspace Identification Based on Building Energy Simulation Tools

Popis výsledku v původním jazyce

Even though modern control has emerged in numerous control applications, a building automation is still a field where the position of the classical control is almost exclusive. The main reason is that for the synthesis of a predictive controller a decentmodel for control is needed. In the field of building climate control, it is still problem to obtain a model of large building in an explicit form suitable for control. Most of the approaches either use building modeling software to get detailed model,which is unfortunately in implicit form; or the model is built-up as a first principle model, which usually ends-up as an extreme simplification of the reality. In this paper, a building model identification procedure is presented, wherein the building model is built-up as a first-principle model using a simulation software (detailed, precise, however in implicit form), and then a state-space model is identified by means of subspace identification methods. The main focus of the paper lay

Název v anglickém jazyce

Predictive Control Oriented Subspace Identification Based on Building Energy Simulation Tools

Popis výsledku anglicky

Even though modern control has emerged in numerous control applications, a building automation is still a field where the position of the classical control is almost exclusive. The main reason is that for the synthesis of a predictive controller a decentmodel for control is needed. In the field of building climate control, it is still problem to obtain a model of large building in an explicit form suitable for control. Most of the approaches either use building modeling software to get detailed model,which is unfortunately in implicit form; or the model is built-up as a first principle model, which usually ends-up as an extreme simplification of the reality. In this paper, a building model identification procedure is presented, wherein the building model is built-up as a first-principle model using a simulation software (detailed, precise, however in implicit form), and then a state-space model is identified by means of subspace identification methods. The main focus of the paper lay

Druh

D - Stať ve sborníku

CEP obor

BC - Teorie a systémy řízení

OECD FORD obor

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Projekt

<a href="/cs/project/GAP103%2F12%2F1187" target="_blank" >GAP103/12/1187: Identifikace stochastických, nelineárních systémů pro pokročilé řízení</a><br>

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2012

Kód důvěrnosti údajů

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

Název statě ve sborníku

2012 20th Mediterranean Conference on Control & Automation (MED 2012)

ISBN

978-1-4673-2530-1

ISSN

—

e-ISSN

—

Počet stran výsledku

6

Strana od-do

1290-1295

Název nakladatele

IEEE

Místo vydání

Barcelona

Místo konání akce

Barcelona

Datum konání akce

3. 7. 2012

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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