A stochastic approach to the operative control of flood flows through a reservoir

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26110%2F16%3APU117395" target="_blank" >RIV/00216305:26110/16:PU117395 - isvavai.cz</a>

Výsledek na webu

<a href="https://content.sciendo.com/view/journals/johh/64/1/article-p91.xml" target="_blank" >https://content.sciendo.com/view/journals/johh/64/1/article-p91.xml</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1515/johh-2016-0012" target="_blank" >10.1515/johh-2016-0012</a>

Jazyk výsledku

angličtina

Název v původním jazyce

A stochastic approach to the operative control of flood flows through a reservoir

Popis výsledku v původním jazyce

The contribution focuses on the design of a control algorithm aimed at the operative control of runoff water from a reservoir during flood situations. Management is based on the stochastically specified forecast of water inflow into the reservoir. From a mathematical perspective, the solved task presents the control of a dynamic system whose predicted hydrological input (water inflow) is characterised by significant uncertainty. The algorithm uses a combination of simulation model data, in which the position of the bottom outlets is sought via nonlinear optimisation methods, and artificial intelligence methods (adaptation and fuzzy model). The task is written in the technical computing language MATLAB using the Fuzzy Logic Toolbox.

Název v anglickém jazyce

A stochastic approach to the operative control of flood flows through a reservoir

Popis výsledku anglicky

The contribution focuses on the design of a control algorithm aimed at the operative control of runoff water from a reservoir during flood situations. Management is based on the stochastically specified forecast of water inflow into the reservoir. From a mathematical perspective, the solved task presents the control of a dynamic system whose predicted hydrological input (water inflow) is characterised by significant uncertainty. The algorithm uses a combination of simulation model data, in which the position of the bottom outlets is sought via nonlinear optimisation methods, and artificial intelligence methods (adaptation and fuzzy model). The task is written in the technical computing language MATLAB using the Fuzzy Logic Toolbox.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

10503 - Water resources

Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2016

Kód důvěrnosti údajů

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

Název periodika

Journal of Hydrology and Hydromechanic

ISSN

0042-790X

e-ISSN

1338-4333

Svazek periodika

64

Číslo periodika v rámci svazku

1

Stát vydavatele periodika

SK - Slovenská republika

Počet stran výsledku

6

Strana od-do

91-96

Kód UT WoS článku

000372319200010

EID výsledku v databázi Scopus

2-s2.0-84956633140