Tractable Data-Driven Model Predictive Control Using One-Step Neural Networks Predictors

Model Predictive Control (MPC) is a popular control strategy that relies on the availability of a prediction model to estimate future system trajectories over a finite time horizon. Recently, researchers have introduced Neural Networks (NNs) into the MPC framework for the development of data-driven...

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Bibliographic Details

Published in:	IEEE transactions on automation science and engineering Vol. 22; pp. 6740 - 6751
Main Authors:	Menegatti, Danilo, Giuseppi, Alessandro, Pietrabissa, Antonio
Format:	Journal Article
Language:	English
Published:	IEEE 2025
Subjects:	Artificial neural networks Computational modeling Computer architecture data-driven control deep neural networks Heuristic algorithms mixed-integer convex programming Model predictive control Optimization Predictive control Predictive models
ISSN:	1545-5955, 1558-3783
Online Access:	Get full text
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