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Robustness Improvement of Predictive Current Control Using Prediction Error Correction for Permanent-Magnet Synchronous Machines
(2016)
The predictive control method deals with the prediction of the motor behavior based on a mathematical model of the motor. This model is dependent on the motor parameters. However, these parameters may not match with their ...
Development and validation of a risk model for prediction of hazardous alcohol consumption in general practice attendees: the predictal study
(PUBLIC LIBRARY SCIENCE, 2011)
Background: Little is known about the risk of progression to hazardous alcohol use in people currently drinking at safe limits. We aimed to develop a prediction model (predictAL) for the development of hazardous drinking ...
Analysis of Finite-Control-Set Model Predictive Current Control With Model Parameter Mismatch in a Three-Phase Inverter
(2016)
It is well known that predictive control methods can be affected by the presence of modeling errors. The extent to which finite-control-set model predictive control (FCS-MPC) is influenced by parametric uncertainties is a ...
Fuzzy Predictive Control Strategy for a Distributed Solar Collector Plant
(2014)
This paper presents the design and evaluation of a fuzzy predictive controller for a distributed solar collector (DSC) plant. A Takagi and Sugeno (T&S) fuzzy model of the DSC plant is identified and used for characterizing ...
Multiobjective Fuzzy-Decision-Making Predictive Torque Control for an Induction Motor Drive
(2017)
In the recent years, the use of model predictive control in electrical drives has been widely reported both theoretically and experimentally. Predictive torque control has been developed to control induction motor drives, ...
Prediction of enteric methane production, yield, and intensity in dairy cattle using an intercontinental database
(2018)
Enteric methane (CH4) production from cattle contributes to global greenhouse gas emissions. Measurement of enteric CH4 is complex, expensive, and impractical at large scales; therefore, models are commonly used to predict ...