<abstract xmlns="http://www.w3.org/1999/xhtml"><p>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.</p></abstract>

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.

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

Povodí Odry, State Enterprise, Varenská 3101/49, 701 26 Ostrava, Czech Republic.

Brno Technical University, Faculty of Civil Engineering, Institute of Landscape Water Management, Žižkova 17, 602 00, Brno, Czech Republic.

Journal of Hydrology and Hydromechanics

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

The contribution focuses on the design of a control algorithm aimed at the operative control of runoff water from a reservoir during flood situations....

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

Online veröffentlicht: 26. Jan. 2016

Seitenbereich: 91 - 96

Eingereicht: 14. Aug. 2015

Akzeptiert: 01. Dez. 2015

DOI: https://doi.org/10.1515/johh-2016-0012

Schlüsselwörter
Operative control of reservoir, Artificial intelligence, Fuzzy inference system, Neural networks, Stochastic forecast, Stochastic control of reservoir, Principle of adaptation

© 2016 Lubomír Jaroš et al., published by De Gruyter Open

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

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

Online veröffentlicht: 26. Jan. 2016

Seitenbereich: 91 - 96

Eingereicht: 14. Aug. 2015

Akzeptiert: 01. Dez. 2015

DOI: https://doi.org/10.1515/johh-2016-0012

SchlüsselwörterOperative control of reservoir, Artificial intelligence, Fuzzy inference system, Neural networks, Stochastic forecast, Stochastic control of reservoir, Principle of adaptation

© 2016 Lubomír Jaroš et al., published by De Gruyter Open

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Schlüsselwörter
Operative control of reservoir, Artificial intelligence, Fuzzy inference system, Neural networks, Stochastic forecast, Stochastic control of reservoir, Principle of adaptation