Model-Free Predictive Control Using Polynomial Regressors

Model-Free Predictive Control Using Polynomial Regressors

Model-free predictive control directly computes the control input from massive input/output datasets and does not use a mathematical model. In contrast, conventional model predictive control relies on mathematical models. Although the underlying principle of model-free predictive control utilizes li...

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Bibliographic Details
Main Authors: Hongran Li, Shigeru Yamamoto
Format: Article
Language:English
Published: Taylor & Francis Group 2017-03-01
Series:SICE Journal of Control, Measurement, and System Integration
Subjects:
data-driven control
predictive control
just-in-time modeling
polynomial regression
nonlinear systems
Online Access:http://dx.doi.org/10.9746/jcmsi.10.93

Internet

http://dx.doi.org/10.9746/jcmsi.10.93

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