Robust Model Predictive Control of Irrigation Systems With Active Uncertainty Learning and Data Analytics

@article{Shang2020RobustMP,
  title={Robust Model Predictive Control of Irrigation Systems With Active Uncertainty Learning and Data Analytics},
  author={Chao Shang and Wei-Han Chen and Abraham Duncan Stroock and Fengqi You},
  journal={IEEE Transactions on Control Systems Technology},
  year={2020},
  volume={28},
  pages={1493-1504}
}
We develop a novel data-driven robust model predictive control (DDRMPC) approach for automatic control of irrigation systems. The fundamental idea is to integrate both mechanistic models, which describe dynamics in soil moisture variations, and data-driven models, which characterize uncertainty in forecast errors of evapotranspiration and precipitation, into a holistic systems control framework. To better capture the support of uncertainty distribution, we take a new learning-based approach by… 

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