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Data-driven switching modeling for MPC using Regression Trees and Random Forests

Nonlinear Analysis: Hybrid Systems, (2020): 100882

Cited: 0|Views8

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 complex large-scale systems can be cost and time prohibitive. To overcome this problem we propose a...More

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Author
Giovanni Domenico Di Girolamo
Giovanni Domenico Di Girolamo
Vittorio De Iuliis
Vittorio De Iuliis
Alessandro D’Innocenzo
Alessandro D’Innocenzo
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