Abstract: Nonlinear model predictive control (NMPC) algorithms have been widely used in autonomous vehicle trajectory tracking, yet their performance is primarily limited by the accuracy of the ...
Anyone with a chronic illness understands the struggle of living with a disease that is deeply unpredictable. Many such ...
A new study suggests that lenders may get their strongest overall read on credit default risk by combining several machine learning models rather than relying on a single algorithm. The researchers ...
"description": "PyData Chicago 2016\n\nGenotype-phenotype studies are done for predicting traits such as whether someone will go bald or have a particular disease given their only genome. We look at ...
audio/ includes all sound examples for the datasets used in the paper. Some of these sound examples are presented on the accompanying web-page. cfg/ includes configuration files for experiments. src/ ...
Abstract: MPC has gained popularity for its ability to satisfy constraints and guarantee robustness for certain classes of systems. However, for systems whose dynamics are characterized by a high ...
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