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20172020
most citedOptimization under Uncertainty in the Era of Big Data and Deep Learning: When Machine Learning Meets Mathematical Programming

340 citations · 1.6k across the 14 of their papers we have counts for

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eess.SY2020

Efficient Greenhouse Temperature Control with Data-Driven Robust Model Predictive Control

Wei-Han Chen, Fengqi You

Appropriate greenhouse temperature should be maintained to ensure crop production while minimizing energy consumption. Even though weather forecasts could provide a certain amount…

eess.SY2018★ 101 cited

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

Chao Shang, Wei-Han Chen, Abraham Duncan Stroock +1

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…