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Design of a supervisory predictive controller based on fuzzy models
(IEEE, 2001)
In this paper, a supervisory optimal control problem is presented. Fuzzy modelling is used to represent the non-linearity of the process and two alternative fuzzy predictors are described in order to solve the optimisation ...
"Comparison of Predictive Machine Learning Models to Predict the Level of Adaptability of Students in Online Education"
(Science and Information OrganizationGBR, 2023)
"With the onset of the COVID-19 pandemic, online
education has become one of the most important options
available to students around the world. Although online
education has been widely accepted in recent years, the ...
"Comparison of Predictive Machine Learning Models to Predict the Level of Adaptability of Students in Online Education"
(Science and Information OrganizationGBR, 2023)
"With the onset of the COVID-19 pandemic, online
education has become one of the most important options
available to students around the world. Although online
education has been widely accepted in recent years, the ...
Model-Free Predictive Current Control of a Voltage Source Inverter
(Institute of Electrical and Electronics Engineers, 2020-11)
Conventional model predictive control (MPC) of power converter has been widely applied to power inverters achieving high performance, fast dynamic response, and accurate transient control of power converter. However, the ...
Predictive optimized adaptive PSS in a single machine infinite bus
(Elsevier, 2016)
Power System Stabilizer (PSS) devices are responsible for providing a damping torque component to generators for reducing fluctuations in the system caused by small perturbations. A Predictive Optimized Adaptive PSS (POA-PSS) ...
Genomic prediction of grain yield and drought-adaptation capacity in sorghum is enhanced by multi-trait analysis
(Swedish University of Agricultural Sciences, 2019-07)
Grain yield and stay-green drought adaptation trait are important targets of selection in grain sorghum breeding for broad adaptation to a range of environments. Genomic prediction for these traits may be enhanced by joint ...
Improving battery voltage prediction in an electric bicycle using altitude measurements and kernel adaptive filters
(Elsevier, 2018)
The time-varying nature of consumption patterns is critical in the development of reliable electric vehi- cles and real-time schemes for assessing energy autonomy. Most of these schemes use battery voltage observations as ...
Teaching through Learning Analytics: Predicting Student Learning Profiles in a Physics Course at a Higher Education Institution
Learning Analytics (LA) is increasingly used in Education to set prediction models from artificial intelligence to determine learning profiles. This study aims to determine to what extent K-nearest neighbor and random ...