Data-Driven Model-Free Adaptive Control Based on Error Minimized Regularized Online Sequential Extreme Learning Machine

Data-Driven Model-Free Adaptive Control Based on Error Minimized Regularized Online Sequential Extreme Learning Machine

Model-free adaptive control (MFAC) builds a virtual equivalent dynamic linearized model by using a dynamic linearization technique. The virtual equivalent dynamic linearized model contains some time-varying parameters, time-varying parameters usually include high nonlinearity implicitly, and the per...

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Bibliographic Details
Main Authors: Xiaofei Zhang, Hongbin Ma
Format: Article
Language:English
Published: MDPI AG 2019-08-01
Series:Energies
Subjects:
model free adaptive control
machine learning
data-driven control
Online Access:https://www.mdpi.com/1996-1073/12/17/3241

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