Robust Constrained Model Predictive Control of Irrigation Systems Based on Data-Driven Uncertainty Set Constructions

We propose a novel data-driven robust model predictive control (RMPC) approach for irrigation system operations, where uncertainty in evapotranspiration and precipitation forecast is explicitly taken into account. A data-driven uncertainty set is constructed to describe the distribution of evapotran...

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Veröffentlicht in:	Proceedings of the American Control Conference S. 1 - 6
Hauptverfasser:	Shang, Chao, Chen, Wei-Han, You, Fengqi
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	American Automatic Control Council 01.07.2019
Schlagworte:	Irrigation Optimization Predictive control Soil moisture Uncertainty Water resources Weather forecasting
ISSN:	2378-5861
Online-Zugang:	Volltext
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