Model Predictive Control of Non-Linear Systems Using Tensor Flow-Based Models

The present paper proposes an approach for the development of a non-linear model-based predictive controller (NMPC) using a non-linear process model based on Artificial Neural Networks (ANNs). This work exploits recent trends on ANN literature using a TensorFlow implementation and shows how they can...

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Bibliographic Details
Main Authors: Rómulo Antão, José Antunes, Alexandre Mota, Rui Escadas Martins
Format: Article
Language:English
Published: MDPI AG 2020-06-01
Series:Applied Sciences
Subjects:
Online Access:https://www.mdpi.com/2076-3417/10/11/3958