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

Title:

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

Creator:

Jaroš, Lubomír, Starý, Miloš, and Březková, Lucie

Identifier:

https://cdk.lib.cas.cz/client/handle/uuid:19f07422-1d75-4a70-8123-269482c317c6
uuid:19f07422-1d75-4a70-8123-269482c317c6
doi:10.1515/johh-2016-0012

Subject:

operative control of reservoir, artificial intelligence, fuzzy inference system, neural networks, stochastic forecast, stochastic control of reservoir, and principle of adaptation

Type:

model:article and TEXT

Format:

bez média and svazek

Description:

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.

Language:

Slovak

Rights:

http://creativecommons.org/licenses/by-nc-sa/4.0/
policy:public

Coverage:

91-96

Source:

Journal of hydrology and hydromechanics | 2016 Volume:64 | Number:1

Harvested from:

CDK

Metadata only:

false