A Comparative Study of Stochastic Model Predictive Controllers

A comparative study of two state-of-the-art stochastic model predictive controllers for linear systems with parametric and additive uncertainties is presented. On the one hand, Stochastic Model Predictive Control (SMPC) is based on analytical methods and solves an optimal control problem (OCP) simil...

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Bibliographic Details
Main Authors: Edwin González, Javier Sanchis, Sergio García-Nieto, José Salcedo
Format: Article
Language:English
Published: MDPI AG 2020-12-01
Series:Electronics
Subjects:
Online Access:https://www.mdpi.com/2079-9292/9/12/2078