Data-driven switching modeling for MPC using Regression Trees and Random Forests
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DOI: 10.1016/j.nahs.2020.100882
Abstract: Abstract Model Predictive Control is a well consolidated technique to design optimal control strategies, leveraging the capability of a mathematical model to predict a system’s behavior over a time horizon. However, building physics-based models for… read more here.
Keywords: methodology; data driven; random forests; regression trees ... See more keywords